diff --git a/betas.txt b/betas.txt
new file mode 100644
index 0000000..4de76dc
--- /dev/null
+++ b/betas.txt
@@ -0,0 +1,1000 @@
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diff --git a/cost_per_iter.txt b/cost_per_iter.txt
new file mode 100644
index 0000000..7959571
--- /dev/null
+++ b/cost_per_iter.txt
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diff --git a/cost_per_point.txt b/cost_per_point.txt
new file mode 100644
index 0000000..c9e624a
--- /dev/null
+++ b/cost_per_point.txt
@@ -0,0 +1,1000 @@
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diff --git a/css/style.css b/css/style.css
index 1d09b32..8c47af1 100755
--- a/css/style.css
+++ b/css/style.css
@@ -1,104 +1,75 @@
 /* Custom styling */
 
-/* Main html/body configurations */
 html, body {
-    max-width: 100%;
+    max-width: 100% !important;
     font-family: sans-serif !important;
-    font-size: 15px !important;
-    /*overflow-x: hidden;
-    overflow-y: hidden;*/
+    font-size: calc(0.35em + 1vmin) !important;
 }
 
-.container-fluid {
-  margin-top: 8px;
-}
-
-.btn{
-  font-size: 15px !important;
+h2 {
+  font-size: calc(0.5em + 1vmin) !important;
 }
 
-
-#param-correlation {
-  flex: 1;
-  display: flex;
-  flex-direction: column;
+select {
+  font-size: calc(0.35em + 1vmin) !important;
 }
 
-#param-correlation > .param {
-  display: flex;
-  margin: 5px 0px;
+button {
+  font-size: calc(0.35em + 1vmin) !important;
 }
 
-#param-correlation > .param > label {
-  width: 200px;
-  text-align: left;
-  padding: 4px 0 0 0px;
-  user-select: none;
-  -webkit-user-select: none;
-  -moz-user-select: none;
-  cursor: default;
+.container-fluid {
+  margin-top: 15px;
 }
 
-#param-correlation > .param > input[type='range'] {
-  width: 60%;
-  margin-right: 10px;
-  text-align: left;
+.table {
+  padding: 0 !important;
+  margin: 0 !important;
 }
 
-#param-correlation > .param > select {
-flex: 0 0 45%;
-width: 100%;
-text-align: left;
+table td {
+  vertical-align: middle !important;
 }
 
-#param-correlation > .param > output {
-flex: 1;
-text-align: left;
-padding:5px 0;
-vertical-align: middle;
-user-select: none;
--webkit-user-select: none;
--moz-user-select: none;
-cursor: default;
+input[type='file'] {
+  color: transparent;    /* Hides your "No File Selected" */
+  width: 95px;
 }
 
-
-/* Control panels on the left side are styled */
-
-#control-panel {
+#param-correlation {
   flex: 1;
   display: flex;
   flex-direction: column;
 }
 
-#control-panel > .param {
+#param-correlation > .param {
   display: flex;
   margin: 5px 0px;
 }
 
-#control-panel > .param > label {
+#param-correlation > .param > label {
   width: 200px;
   text-align: left;
-  padding: 4px 0 0 8px;
+  padding: 4px 0 0 0px;
   user-select: none;
   -webkit-user-select: none;
   -moz-user-select: none;
   cursor: default;
 }
 
-#control-panel > .param > input[type='range'] {
+#param-correlation > .param > input[type='range'] {
   width: 60%;
   margin-right: 10px;
   text-align: left;
 }
 
-#control-panel > .param > select {
+#param-correlation > .param > select {
 flex: 0 0 45%;
 width: 100%;
 text-align: left;
 }
 
-#control-panel > .param > output {
+#param-correlation > .param > output {
 flex: 1;
 text-align: left;
 padding:5px 0;
@@ -267,8 +238,6 @@ svg#legend3 {
 }
 
 #hider2 {
-  height: 3vw;
-  width: 8.4vw;
   margin-left: -5px;
   text-align: left;
   background-color: white;
@@ -445,7 +414,6 @@ svg#legend3 {
   text-decoration: none;
   display: inline-block;
   font-size: 14px;
-  margin-left:10px;
 }
 
 /* Load and Save Analysis Buttons Styling */
diff --git a/index.html b/index.html
index ba1b4c0..a3ec7ac 100755
--- a/index.html
+++ b/index.html
@@ -4,6 +4,8 @@
     <!-- Ignore Favicon -> Solved the warning in console of the browser. -->
     <link rel="icon" href="data:;base64,iVBORw0KGgo=">
 
+    <title>t-viSNE</title>
+
     <!-- Three.js and Lodash libraries-->
     <script src='./modules/three.js-r101/three.js'></script>
     <script src='./modules/lodash/lodash.js'></script>
@@ -72,79 +74,75 @@
           
     <div class="container-fluid">
         <div class="row">
-            <div class="col-md-3">
+            <div class="col-lg-3">
                 <div class="panel panel-default" id="left-side-param">
                     <div class="panel-heading">
-                      <h2 class="panel-title" style="display:inline-block" data-toggle="tooltip" data-placement="right" title="Tip: control t-SNE algorithm and its parameters.">t-SNE Parameters</h2>
+                      <h2 class="panel-title" style="display:inline-block" data-toggle="tooltip" data-placement="right" title="Tip: a panel for controlling the t-SNE algorithm and its parameters.">Parameters</h2>
                         [Mode:
-                        <select id="param-EX-view" name="param-EX-view" data-toggle="tooltip" data-placement="right" title="Tip: change between grid search and a single set of parameters." onchange="ExecuteMode()">
+                        <select id="param-EX-view" name="param-EX-view" data-toggle="tooltip" data-placement="right" title="Tip: the option of changing between grid search (generating 500 projections) and a single set of parameters (1 projection)." onchange="ExecuteMode()">
                             <option value="1" selected>Grid Search</option>
                             <option value="2">Single Set</option>
                           </select>
                         ]
-                        <div id="cost" style="display:inline-block; margin-top:3px; float:right"></div>
+                        <div id="cost" title="Tip: the overall cost reduced by each iteration step of the t-SNE algorithm." style="display:inline-block; margin-top:3px; float:right"></div>
                     </div>
                   <div class="panel-body">
-                    <div id="control-panel" data-sr="enter left over 8s">
-                      <div class="param">
-                          <label id="data" for="param-dataset" data-toggle="tooltip" data-placement="right" title="Tip: use one of the data sets already provided or upload a new file.">Data sets</label>
-                          <select id="param-dataset" name="param-dataset" onChange="changeDataset(this.value);">
-                            <option value="diabetes.csv" selected>Pima Indian Diabetes</option>
-                            <option value="breast-cancer-wisconsin.csv">Breast Cancer Wisconsin</option>
-                            <option value="iris.csv">Iris</option>                            
-                            <option value="SPECTF.csv">SPECTF</option>
-                            <option value="blobs.csv">Gaussian Clusters</option>
-                            <option value="empty">Upload New File</option>
-                          </select>
-                          <button type="button" class="button" id="FactRes" onclick="FactoryReset()" data-toggle="tooltip" data-placement="right" title="Tip: Restart the entire web page/application.">Factory reset</button>
-                      </div>
-                          <div class="param">
-                        <label for="param-perplexity" data-toggle="tooltip" data-placement="right" title="Tip: perplexity is a measure for information that is defined as 2 to the power of the Shannon entropy. The perplexity of a fair die with k sides is equal to k. In t-SNE, the perplexity may be viewed as a knob that sets the number of effective nearest neighbors. (Source: https://lvdmaaten.github.io/tsne/)">Perplexity</label>
-                        <input id="param-perplexity" type="range" min="5" max="100" value="30", step="1" >
-                        <output for="param-perplexity" id="param-perplexity-value">30</output>
-                          </div>
-                          <div class="param">
-                        <label for="param-learningrate" data-toggle="tooltip" data-placement="right" title="Tip: if the learning rate is too high, the data may look like a ‘ball’ with any point approximately equidistant from its nearest neighbours. If the learning rate is too low, most points may look compressed in a dense cloud with few outliers. If the cost function gets stuck in a bad local minimum increasing the learning rate may help. (Source: https://scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html)">Learning rate</label>
-                        <input id="param-learningrate" type="range" min="1" max="150" value="1", step="1">
-                        <output for="param-learningrate" id="param-learningrate-value">1</output>
-                          </div>                          
-                          <div class="param">
-                              <div class="row">
-                              <div class="col-md-3">
-                              <label for="param-maxiter" style="padding: 25px 0 0 8px" data-toggle="tooltip" data-placement="right" title="Tip: maximum number of iterations for the optimization. Should usually be around 250. (Source: https://scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html)">Max iterations</label>
-                              </div>
-                              <div class="col-md-4" style="padding: 25px 0 0 0px">
-                              <input id="param-maxiter" type="range" min="10" max="1000" value="500", step="10" >
-                            </div>
-                            <div class="col-md-1">
-                              <output for="param-maxiter" id="param-maxiter-value" style="padding: 25px 0 0 0" >500</output>
-                              </div>
-
-                          <div class="col-md-4">
-                              <div id="hider2"></div>
+                      <table class="table table-borderless">
+                        <tbody>
+                          <tr>
+                            <td scope="row"><label id="data" for="param-dataset" data-toggle="tooltip" data-placement="right" title="Tip: use one of the data sets already provided (only numerical values supported) or upload a new file (do not forget to use * for the target label).">Data sets</label></td>
+                            <td>
+                              <select id="param-dataset" name="param-dataset" onChange="changeDataset(this.value);">
+                                <option value="diabetes.csv" selected>Diabetes</option>
+                                <option value="breast-cancer-wisconsin.csv">Breast Cancer</option>
+                                <option value="iris.csv">Iris</option>                            
+                                <option value="SPECTF.csv">SPECTF</option>
+                                <option value="blobs.csv">Gaussian Clusters</option>
+                                <option value="empty">Upload File</option>
+                              </select>
+                            </td>
+                            <td><button type="button" class="button" id="FactRes" onclick="FactoryReset()" data-toggle="tooltip" data-placement="right" title="Tip: Restart the entire web page/application.">Factory reset</button></td>
+                          </tr>
+                          <tr>
+                            <td scope="row"><label for="param-perplexity" data-toggle="tooltip" data-placement="right" title="Tip: perplexity is a measure for information that is defined as 2 to the power of the Shannon entropy. The perplexity of a fair die with k sides is equal to k. In t-SNE, the perplexity may be viewed as a knob that sets the number of effective nearest neighbors. (Source: https://lvdmaaten.github.io/tsne/).">Perplexity</label></td>
+                            <td><input id="param-perplexity" type="range" min="5" max="100" value="30", step="1" ></td>
+                            <td><output for="param-perplexity" id="param-perplexity-value">30</output></td>
+                          </tr>
+                          <tr>
+                            <td scope="row"><label for="param-learningrate" data-toggle="tooltip" data-placement="right" title="Tip: if the learning rate is too high, the data may look like a ‘ball’ with any point approximately equidistant from its nearest neighbours. If the learning rate is too low, most points may look compressed in a dense cloud with few outliers. If the cost function gets stuck in a bad local minimum increasing the learning rate may help. (Source: https://scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html).">Learning rate</label></td>
+                            <td><input id="param-learningrate" type="range" min="1" max="150" value="1", step="1"></td>
+                            <td><output for="param-learningrate" id="param-learningrate-value">1</output></td>
+                          </tr>
+                          <tr>
+                            <td scope="row"><label for="param-maxiter" data-toggle="tooltip" data-placement="right" title="Tip: maximum number of iterations for the optimization. Should usually be around 250. (Source: https://scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html).">Max iterations</label></td>
+                            <td><input id="param-maxiter" type="range" min="10" max="1000" value="500", step="10"></td>
+                            <td><output for="param-maxiter" id="param-maxiter-value" >500</output></td>
+                          </tr>
+                          <tr>
+                            <td scope="row" colspan="3">
+                              <div id="hider2" title="Tip: wait for line chart to load (overall cost vs. iteration)."></div>
                               <div id="PlotCost"></div>
-                            </div>
-
-                          </div>
-                          </div>
-                          <div class="param" style="margin-top: -10px">
-                        <input id="file-input" type="file" name="name" style="display: none;" />
-                        <button type="button" class="button" onclick='loadAnalysis();' style="padding:15px 12px 15px 12px; margin-left:15px" data-toggle="tooltip" data-placement="right" title="Tip: load previously executed file in .txt format.">Load execution</button>
-                        <button type="button" class="button" onclick="SaveAnalysis()" style="padding:15px 12px 15px 12px; margin-left:20px" data-toggle="tooltip" data-placement="right" title="Tip: save/store previously executed file in .txt format.">Store execution</button>
-                        <div class="col-md-" style="margin-top: 14px; margin-left:15px">
-                            <label data-toggle="tooltip" data-placement="right" title="Tip: if you store distances the file size will be larger but on a loading of this execution it will be processed much quicker than without this option enabled.">
-                                <input id="downloadDists" checked type="checkbox" >
-                                Distances cached on "Store execution"
+                            </td>
+                          </tr>
+                          <tr>
+                            <td scope="row">
+                              <input id="file-input" type="file" name="name" style="display: none;"/>
+                              <button type="button" class="button" onclick='loadAnalysis();' data-toggle="tooltip" data-placement="right" title="Tip: load previously executed analysis in .txt format.">Load execution</button>  
+                            </td>
+                            <td><label data-toggle="tooltip" data-placement="right" title="Tip: if you store distances the file size will be larger but on a loading of this execution it will be processed much quicker than without this option enabled.">
+                              <input id="downloadDists" checked type="checkbox" >
+                              Cache distances
                             </label>
-                          </div>
-                        </div>
-                        <div class="row">
-                          <div class="col-md-12" style="margin-top:10px">
-                              <p><div id="run-button"><button id="ExecuteBut" class="btn btn-primary btn-block" onclick="getData();" value="Execute new t-SNE analysis" style="margin-top: 4px"><i class="fas fa-running fa-lg" style="margin-right: 10px"></i>Execute new t-SNE analysis</button></div></p>
-                          </div>
-
-                        </div>
-                    </div>
+                            </td>
+                            <td>
+                              <button type="button" class="button" onclick="SaveAnalysis()" data-toggle="tooltip" data-placement="right" title="Tip: save/store previously executed analysis in .txt format.">Store execution</button>
+                            </td>
+                          </tr>
+                          <tr>
+                            <td scope="row" colspan="3"><button id="ExecuteBut" class="btn btn-primary btn-block" onclick="getData();" title="Tip: initialize a new t-SNE investigation or start a previous analysis, in case load execution is activated." value="Execute new t-SNE analysis"><i class="fas fa-running fa-lg" style="margin-right: 10px"></i>Execute new t-SNE analysis</button></td>
+                          </tr>
+                        </tbody>
+                      </table>
                   </div>
                 </div>
               </div>
@@ -198,7 +196,7 @@
             <div class="col-md-3"  style="margin-top:-4px">
                 <div class="panel panel-default" style="padding-bottom: 35px;">
                   <div class="panel-heading">
-                      <h2 class="panel-title" style="display:inline-block" data-toggle="tooltip" data-placement="right" title="Tip: t-SNE overview with or without labels depending on each data set. To determine the feature of a data set that corresponds to classes set a * mark after this feature.">t-SNE Overview</h2><div id="datasetDetails"style="display:inline-block; float:right"></div>
+                      <h2 class="panel-title" style="display:inline-block" data-toggle="tooltip" data-placement="right" title="Tip: t-SNE overview with or without labels depending on each data set. To determine the feature of a data set that corresponds to classes set a * mark after this feature.">Overview</h2><div id="datasetDetails"style="display:inline-block; float:right"></div>
                   </div>
                   <div class="row">
                     <div class="panel-body">
@@ -395,10 +393,35 @@
             </div>
            </div>
           </div>
+        -->
+      </div>
+      <div class="footer">
+        <hr>
+         <p class="text-muted credit no-top-margin no-bottom-margin">
+             &copy; ISOVIS group 2019&ndash;2020
+         </p>
+         <p class="text-muted credit no-top-margin no-bottom-margin">
+             Last updated: June 15, 2020
+         </p>
       </div>
     </div>
+    
+    <!-- Load the core visualization script. -->
+    <script src="./js/tsne_vis.js"></script>
 
     <script>
+
+      function render() {
+        myResponsiveComponent({
+          width: document.body.clientWidth,
+          height: document.body.clientHeight
+        });
+      }
+
+      render();
+
+      window.addEventListener('resize', render);
+
       // Tooltip
       $(document).ready(function(){
         $("[rel='tooltip']").tooltip();
@@ -420,10 +443,10 @@
         $('#myModal').modal('hide');
       }
 
-      $("#cost").html('(Unknown Overall Cost)');
-      $("#datasetDetails").html('(Unknown Number of Dimensions and Instances)');
-      $("#CategoryName").html('No Classification');
-      $("#knnBarChartDetails").html('(Number of Selected Points: 0/0)');
+      $("#cost").html('(Ov. Cost: ?)');
+      $("#datasetDetails").html('(Num. of Dim. and Ins.: ?)');
+      $("#CategoryName").html('No labels');
+      $("#knnBarChartDetails").html('(Num. of Selected Points: 0/0)');
       /* This script is used in order to give functionalities to the different buttons provide through the front-end. */
       $('#param-lim').bind('input', function () { $('#param-lim-value').text($('#param-lim').val()); }); 
       $('#param-corr').bind('input', function () { $('#param-corr-value').text($('#param-corr').val()); });
@@ -462,9 +485,6 @@
         });
       }
 
-    </script>
-
-    <script>
       /* On resize refresh the shepardHeatmap */
       window.onresize = function(event) {
         if ( document.getElementById('cost').hasChildNodes() ) {
@@ -505,9 +525,6 @@
       }
     </script>
 
-    <!-- Load the core visualization script. -->
-    <script src="./js/tsne_vis.js"></script>
-
   </body>
 
 </html>
diff --git a/js/data_form_handler.js b/js/data_form_handler.js
index 35977ba..de8bd18 100755
--- a/js/data_form_handler.js
+++ b/js/data_form_handler.js
@@ -9,10 +9,11 @@ function changeDataset(value) {
       d3.select("#data")
         .append("input")
          .attr("type", "file")
-         .style("font-size", "10px")
+         .style("font-size", 'calc(0.35em + 0.9vmin)')
          .on("change", function() {
           var file = d3.event.target.files[0];
           getfile(file);
+          $("#data").html(file.name);
         })
     } else {
       $("#data").html('Data sets'); // Print on the screen the classification label.
diff --git a/js/tsne_vis.js b/js/tsne_vis.js
index 7aee690..2e5c4df 100755
--- a/js/tsne_vis.js
+++ b/js/tsne_vis.js
@@ -61,6 +61,13 @@ var minimum; var correlationResults = []; var correlationResultsFinal = []; var
 
 var results_all_global = []
 
+var overallWidth = 0, overallHeight = 0;
+
+function myResponsiveComponent(props) {
+  overallWidth = props.width;
+  overallHeight = props.height;
+}
+
 // This function is executed when the factory button is pressed in order to bring the visualization in the initial state.
 function FactoryReset(){
   var graphDiv = 'ProjectionsVisual'
@@ -2627,6 +2634,8 @@ function init(data, results_all, fields) {
     d3.select("#knnBarChart").style("z-index", 1);
 
     d3.select("#hider2").style("z-index", 2);
+    d3.select("#hider2").style("width", overallWidth/4.6);
+    d3.select("#hider2").style("height", overallHeight/14.3);
     d3.select("#PlotCost").style("z-index", 1);
 
     // Clear the previously drawn main visualization canvas.
@@ -2639,9 +2648,9 @@ function init(data, results_all, fields) {
     d3.selectAll("#legend3 > *").remove();
     d3.selectAll("#legend4 > *").remove();
 
-    $("#datasetDetails").html('(Unknown Number of Dimensions and Instances)');
-    $("#CategoryName").html('No Classification');
-    $("#knnBarChartDetails").html('(Number of Selected Points: 0/0)');
+    $("#datasetDetails").html('(Num. of Dim. and Ins.: ?)');
+    $("#CategoryName").html('No labels');
+    $("#knnBarChartDetails").html('(Num. of Selected Points: 0/0)');
 
     // Enable again the lasso interaction.
     lassoEnable();
@@ -2854,6 +2863,8 @@ function computeDistances(data, distFunc, transFunc) {
 function OverallCostLineChart(){
 
   d3.select("#hider2").style("z-index", -1);
+  d3.select("#hider2").style("width", 0);
+  d3.select("#hider2").style("height", 0);
   d3.select("#PlotCost").style("z-index", 2);
 
   var trace1 = {
@@ -2874,27 +2885,30 @@ function OverallCostLineChart(){
   
   var layout = {
     showlegend: false,
-    width: 215,
-    height: 80,
-    xaxis:{title: 'Iterations',
-    titlefont: {
-      size: 12,
-      color: 'black'
-    }},
-    yaxis:{title: 'Ov. Cost',
-            titlefont: {
-              size: 12,
-              color: 'black'
-            }},
+    width: overallWidth/4.6,
+    height: overallHeight/14.3,
+    xaxis:{title: 'Iteration',
+      titlefont: {
+        family: "sans-serif",
+        size: '12',
+        color: 'black'
+      }},
+    yaxis:{title: 'Ov. cost',
+      titlefont: {
+        family: "sans-serif",
+        size: '12',
+        color: 'black'
+      },
+      y: 0.1,},
     margin: {
-      l: 40,
+      l: 32,
       r: 15,
       b: 30,
       t: 5
     },
   };
   
-  Plotly.newPlot('PlotCost', data, layout,{displayModeBar:false}, {staticPlot: true});
+  Plotly.newPlot('PlotCost', data, layout,{displayModeBar:false}, {staticPlot: true}, {responsive: true});
 }
 
 // Function that updates embedding
@@ -2948,7 +2962,7 @@ function updateEmbedding(AnalysisResults) {
       ArrayWithCostsList = AnalysisResults.slice(2*dataFeatures.length+length+10, 2*dataFeatures.length+length+11);
       Iterations = IterationsList[0];
       ArrayWithCosts = ArrayWithCostsList[0];
-      $("#cost").html("(Overall Cost: " + overallCost + ")");
+      $("#cost").html("(Ov. Cost: " + overallCost + ")");
       $('#param-perplexity-value').text(ParametersSet[1]);
       $('#param-learningrate-value').text(ParametersSet[2]);
       $('#param-maxiter-value').text(ParametersSet[3]);
@@ -2962,7 +2976,7 @@ function updateEmbedding(AnalysisResults) {
       ArrayWithCostsList = AnalysisResults.slice(2*length+8, 2*length+9);
       Iterations = IterationsList[0];
       ArrayWithCosts = ArrayWithCostsList[0];
-      $("#cost").html("(Overall Cost: " + overallCost + ")");
+      $("#cost").html("(Ov. Cost: " + overallCost + ")");
       $('#param-perplexity-value').text(ParametersSet[1]);
       $('#param-learningrate-value').text(ParametersSet[2]);
       $('#param-maxiter-value').text(ParametersSet[3]);
@@ -3216,7 +3230,7 @@ function ShepardHeatMap () {
       var legend = d3.legendColor() // Legend color and title!
         .labelFormat(d3.format(",.0f"))
         .cells(9)
-        .title("Number of Points")
+        .title("Num. of Points")
         .scale(colorScale);
 
       heatleg.select(".legendLinear")
@@ -3399,33 +3413,33 @@ function step() {
           if (sliderTrigger) {
             if (sliderInsideTrigger) {
               if (cost_overall[activeProjectionNumberProv][step_counter-1].toFixed(3) < 0) {
-                $("#cost").html("(Overall Cost: 0.000)");
+                $("#cost").html("(Ov. Cost: 0.000)");
                 ArrayWithCosts.push(0);
                 Iterations.push(step_counter);
               } else {
-                $("#cost").html("(Overall Cost: " + cost_overall[activeProjectionNumberProv][step_counter-1].toFixed(3) + ")");
+                $("#cost").html("(Ov. Cost: " + cost_overall[activeProjectionNumberProv][step_counter-1].toFixed(3) + ")");
                 ArrayWithCosts.push(cost_overall[activeProjectionNumberProv][step_counter-1].toFixed(3));
                 Iterations.push(step_counter);
               }
 
             } else {
               if (cost_overall[activeProjectionNumber][step_counter-1].toFixed(3) < 0) {
-                $("#cost").html("(Overall Cost: 0.000)");
+                $("#cost").html("(Ov. Cost: 0.000)");
                 ArrayWithCosts.push(0);
                 Iterations.push(step_counter);
               } else {
-                $("#cost").html("(Overall Cost: " + cost_overall[activeProjectionNumber][step_counter-1].toFixed(3) + ")");
+                $("#cost").html("(Ov. Cost: " + cost_overall[activeProjectionNumber][step_counter-1].toFixed(3) + ")");
                 ArrayWithCosts.push(cost_overall[activeProjectionNumber][step_counter-1].toFixed(3));
                 Iterations.push(step_counter);
               }
             }
           } else {
             if (cost_overall[activeProjectionNumber][step_counter-1].toFixed(3) < 0) {
-              $("#cost").html("(Overall Cost: 0.000)");
+              $("#cost").html("(Ov. Cost: 0.000)");
               ArrayWithCosts.push(0);
               Iterations.push(step_counter);
             } else {
-              $("#cost").html("(Overall Cost: " + cost_overall[activeProjectionNumber][step_counter-1].toFixed(3) + ")");
+              $("#cost").html("(Ov. Cost: " + cost_overall[activeProjectionNumber][step_counter-1].toFixed(3) + ")");
               ArrayWithCosts.push(cost_overall[activeProjectionNumber][step_counter-1].toFixed(3));
               Iterations.push(step_counter);
             }
@@ -3469,7 +3483,7 @@ function OverviewtSNE(points){ // The overview t-SNE function
       }
     }
   }
-  $("#datasetDetails").html("(Number of Dimensions: " + (Object.keys(dataFeatures[0]).length - valCategExists) + ", Number of Instances: " + final_dataset.length + ")"); // Print on the screen the number of features and instances of the data set, which is being analyzed.
+  $("#datasetDetails").html("(Num. of Dim.: " + (Object.keys(dataFeatures[0]).length - valCategExists) + ", Num. of Ins.: " + final_dataset.length + ")"); // Print on the screen the number of features and instances of the data set, which is being analyzed.
   if (Category == undefined){
     $("#CategoryName").html("Classification label: No category"); // Print on the screen the classification label.
   } else {
@@ -3675,7 +3689,7 @@ function CostHistogram(points){
                 size: 14,
                 color: 'black'
               }},
-    yaxis:{title: 'Number of Points (log)',
+    yaxis:{title: 'Num. of Points (log)',
           type: "log",
             titlefont: {
               size: 14,
@@ -5915,7 +5929,7 @@ function LineBar() {
         pad: 4
       },
       xaxis: {range: [0, LimitXaxis],
-        title: 'Number of neighbors',
+        title: 'Num. of neighbors',
         titlefont: {
           size: 12,
           color: 'black'
@@ -5972,7 +5986,7 @@ function LineBar() {
         pad: 4
       },
       xaxis: {range: [0, LimitXaxis],
-        title: 'Number of neighbors',
+        title: 'Num. of neighbors',
         titlefont: {
           size: 12,
           color: 'black'
@@ -6020,7 +6034,7 @@ function LineBar() {
         pad: 4
       },
       xaxis: {range: [0, LimitXaxis],
-        title: 'Number of neighbors',
+        title: 'Num. of neighbors',
         titlefont: {
           size: 12,
           color: 'black'
@@ -6034,7 +6048,7 @@ function LineBar() {
 
   Plotly.newPlot('knnBarChart', data, layout, {displayModeBar:false}, {staticPlot: true});
   }
-  $("#knnBarChartDetails").html("(Number of Selected Points: "+howManyPoints+"/"+dataFeatures.length+")");
+  $("#knnBarChartDetails").html("(Num. of Selected Points: "+howManyPoints+"/"+dataFeatures.length+")");
   // If the checkbox is checked, display the output text
 }
  
diff --git a/result.dat b/result.dat
new file mode 100644
index 0000000..4528897
Binary files /dev/null and b/result.dat differ