About Anaconda Help Download Anaconda

A fast dimensionality reduction method scaleable to large numbers of samples. Landmark Multi-Dimensional Scaling (LMDS) is an extension of classical Torgerson MDS, but rather than calculating a complete distance matrix between all pairs of samples, only the distances between a set of landmarks and the samples are calculated.

copied from cf-post-staging / r-lmds
Label Latest Version
main 0.1.0
cf202003 0.1.0

© 2025 Anaconda, Inc. All Rights Reserved. (v4.2.2) Legal | Privacy Policy