t-SNE Parameters
Data sets
Pima Indian Diabetes
Breast Cancer Wisconsin
Iris
Red Wine - Quality
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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 (%)
30
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
[Visualization:
Bar Chart
Line Plot
Difference Line Plot
]
Adaptive Parallel Coordinates Plot