Tomasz Konopka

Tomasz Konopka

3 packages on CRAN

ksharp

cran
99.99th

Percentile

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.

Rcssplot

cran
99.99th

Percentile

Provides a means to style plots through cascading style sheets. This separates the aesthetics from the data crunching in plots and charts.

umap

cran
99.99th

Percentile

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).