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Results tagged with distance
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user 46598
Measure of distance between distributions or variables, such as Euclidean distance between points in n-space.
1
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.matrix …
- 151
4
votes
3
answers
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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. … Will this proposal https://stats.stackexchange.com/a/12503/46598 work
for transforming my JSD distance matrix to eucleidean distance
matrix?
What else would you consider? …
- 151