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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-staging / r-lmds

Installers

Info: This package contains files in non-standard labels.
  • noarch v0.1.0

conda install

To install this package run one of the following:
conda install conda-forge::r-lmds
conda install conda-forge/label/cf202003::r-lmds

Description


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