t-SNE Overview
Points radius scaling factor
2
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Layer: t-SNE projection
Layer: kNN limiter and data features comparison
Layer: Schema investigation
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Shepard Heatmap
t-SNE Parameters
Data sets
Red Wine - Quality
Iris
Mnist
Frogs
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Perplexity
30
Learning rate
10
Max iterations
10
Distance metric
Euclidean distance
Jaccard dissimilarity
Data transform
No transform
Log10
asinh
Binarize
Run New t-SNE
Visual Mapping Parameters
Neighborhood Preservation
Color
Size
Final Cost (Kullback-Leibler)
Vice versa
Correlation threshold
150
Visualization annotating form:
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t-SNE and data set's extra information
kNN barchart information