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Showing content from https://projector.tensorflow.org/ below:

BOOKMARKS ([[savedStates.length]]) Open this drawer to save a set of views of the projection, including selected points. A file containing the bookmarks can then be saved and later loaded to view them.

Neighbors The number of nearest neighbors used to compute the fuzzy simplicial set, which is used to approximate the overall shape of the manifold. The default value is 15. [[umapNeighbors]]

For faster results, the data will be sampled down to [[getUmapSampleSizeText()]] points.

Learn more about UMAP.

Perplexity The most appropriate perplexity value depends on the density of the data. Loosely speaking, a larger / denser dataset requires a larger perplexity. Typical values for perplexity range between 5 and 50.

Learning rate The ideal learning rate often depends on the size of the data, with smaller datasets requiring smaller learning rates.

Supervise The label importance used for supervision, from 0 (disabled) to 100 (full importance).

Iteration: 0

For faster results, the data will be sampled down to [[getTsneSampleSizeText()]] points.

How to use t-SNE effectively.

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PCA is approximate.

Total variance

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