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-lmdsLabel | Latest Version |
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main | 0.1.0 |
cf202003 | 0.1.0 |