umap - Uniform Manifold Approximation and Projection
Uniform manifold approximation and projection is a technique for dimension reduction. The algorithm was described by McInnes and Healy (2018) in <arXiv:1802.03426>. This package provides an interface for two implementations. One is written from scratch, including components for nearest-neighbor search and for embedding. The second implementation is a wrapper for 'python' package 'umap-learn' (requires separate installation, see vignette for more details).
Last updated 4 months ago
dimensionality-reductionumap
131 stars 6.42 score 17 dependencies 41 dependentsRcssplot - Styling of Graphics using Cascading Style Sheets
Provides a means to style plots through cascading style sheets. This separates the aesthetics from the data crunching in plots and charts.
Last updated 4 years ago
cssdata-sciencevisualization
9 stars 1.52 score 0 dependenciesksharp - Cluster Sharpening
Clustering typically assigns data points into discrete groups, but the clusters can sometimes be indistinct. Cluster sharpening adjusts an existing clustering to create contrast between groups. This package provides a general interface for cluster sharpening along with several implementations based on different excision criteria.
Last updated 3 years ago
3 stars 0.92 score 0 dependencies