generalized-kmeans-clustering
generalized-kmeans-clustering copied to clipboard
derrickburns
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.
Hi, When 'predicting' a single Vector from a RDD[Vector] on a trained model a stackoverflowerror is thrown. When doing the same on a RDD[Vector] at once it works oke. ```...
I don't get the rationale behind Weighted Vector, As far as I got, WeightedVector applies the same weight to each Vector element. For example, if I have ``` val v...
Hi @derrickburns, Would you like to make a release of this package on the Spark Packages Maven Repo? There is an sbt-plugin called [sbt-spark-package](https://github.com/databricks/sbt-spark-package) that would help you make the...
Metadata
Owner
Metadata
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.