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.
- entropy
- bregman-divergence
- embeddings
- euclidean-distance
- cosine-similarity
- kullback-leibler-divergence
- itakura-saito-divergence
- k-means
- spark
- clustering
- similarity-search
- spark-mllib
Scala versions:
2.10
Latest version
[](https://index-dev.scala-lang.org/derrickburns/generalized-kmeans-clustering/massivedatascience-clusterer)
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