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
Store execut.
Execute new t-SNE analysis
Distances cached on "Store execution"
Interaction Modes
t-SNE Points Exploration
Group Selection
Dimension Correlation
Reset Filters
t-SNE Overview
Visual Mapping
Density
Color-encoding
Size-encoding
Remaining cost
Size-encoding
Correlation threshold
150
Points radius scaling
3
Hide annotations' controllers
Reveal annotations
Annotation:
Add annotation
Continue the analysis
Delete annotations
Shepard Heatmap
Dimension Correlation
Min. Visible Correlation: #
0.0
Density and Remaining Cost Distributions
Min. Visible Cost Rate: #
1
Neighborhood Preservation
Adaptive Parallel Coordinates Plot