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smallvis - R package for dimensionality reduction of small datasets

  •    R

An R package for small-scale dimensionality reduction using neighborhood-preservation dimensionality reduction methods, including t-Distributed Stochastic Neighbor Embedding, LargeVis and UMAP. LargeVis and UMAP are of particular interest because they seem to give visualizations which are very competitive with t-SNE, while being more amenable to scaling up to large datasets. Why do these methods work so well? This package is designed to make it easier to experiment with and compare these methods.






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