t-SNE Overview
Points radius scaling factor
3
Select Different Modes
t-SNE points exploration
Points selection and data features comparison
Schema investigation
Reset all filters
Hide annotations' controllers
Distances cache (Save Exec.)
Shepard Heatmap
Schema Investigation (Coefficient of Determination)
Mininum Correlation: #
0.5
t-SNE Parameters
Data sets
Pima Indian Diabetes
Breast Cancer Wisconsin
Iris
Red Wine - Quality
Upload New File
Factory Reset
Perplexity
30
Learning rate
10
Max iterations
500
Distance metric
Euclidean distance
Jaccard dissimilarity
Load Execut.
Data transform
No transform
Log10
Asinh
Binarize
Save Execut.
Execute new t-SNE analysis
Parallel Coordinates Plot (with Local PCA Calculation)
Visual Mapping Parameters
Density (1/sigma)
Color-encoding
Size-encoding
Delete Annotations
Final Cost (Kullback-Leibler Divergence)
Size-encoding
Correlation threshold
150
Annotation:
Addition of a new comment
Continuation of the analysis
Neighborhood Preservation
1/sigma and KLD Distributions
Minimum Cost Boundary: #
1