derrickburns / generalized-kmeans-clustering

Spark library for generalized K-Means clustering. Supports general Bregman divergences. Suitable for clustering probabilistic data, time series data, high dimensional data, and very large data.

Date Created 2014-09-03 (10 years ago)

Commits 824 (last one about a year ago)

Stargazers 300 (0 this week)

Watchers 16 (0 this week)

Forks 50

License apache-2.0

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RepositoryStats indexes 632,768 repositories, of these derrickburns/generalized-kmeans-clustering is ranked #139,908 (78th percentile) for total stargazers, and #134,231 for total watchers. Github reports the primary language for this repository as HTML, for repositories using this language it is ranked #3,301/16,494.

derrickburns/generalized-kmeans-clustering is also tagged with popular topics, for these it's ranked: spark (#197/552), embeddings (#123/381), clustering (#101/378)

Other Information

derrickburns/generalized-kmeans-clustering has Github issues enabled, there are 3 open issues and 2 closed issues.

Homepage URL: https://generalized-kmeans-clustering.massivedatascience.com/

All Topics

spark entropy k-means clustering embeddings spark-mllib cosine-similarity similarity-search bregman-divergence euclidean-distance itakura-saito-divergence kullback-leibler-divergence

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51 commits on the default branch (master) since jan '22

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updated: 2025-01-17 @ 11:59pm, id: 23633128 / R_kgDOAWic6A