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clara refers to Clustering LARge Applications, a partitioning method to deal with large datasets.
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vote
Accepted
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 …
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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? …