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clara refers to Clustering LARge Applications, a partitioning method to deal with large datasets.

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Clustering based on large Jensen-Shannon Divergence distance matrix

I solved my R PAM clustering memory consumption issue by: increasing AWS (Amazon Web Services‎) instance memory changing JSD distance matrix elements from numerical to integer: jsd_dist_int <- as.m …
Andres Kull's user avatar
4 votes
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Clustering based on large Jensen-Shannon Divergence distance matrix

I’m looking for alternative implementations. k-means doesn’t work with other distance metrics than eucleidean, R clara works only with eucleidean and manhattan distance matrices. … Sparks do not support pam or clara yet. Will this proposal https://stats.stackexchange.com/a/12503/46598 work for transforming my JSD distance matrix to eucleidean distance matrix? …
Andres Kull's user avatar