t-SNE Overview
Points radius scaling factor
2
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
t-SNE Parameters
Data sets
Red Wine - Quality
Iris
Mnist
Frogs
Add 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
Visual Mapping Parameters
Neighborhood Preservation
Color
Size
Final Cost (Kullback-Leibler)
Size
Correlation threshold
150
Annotation:
Addition of a new comment
Continuation of the analysis
t-SNE and Data Set's Additional Information
k Nearest Neighborhood Cluster Purity Preservation