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.
this one was confusing, since the vector norm is not the sum of the squares of the coordinates and the non-squared Euclidean norm doesn't satisfy the differentiability needed to construct a Bregman divergence.
this one was confusing, since the vector norm is not the sum of the squares of the coordinates and the non-squared Euclidean norm doesn't satisfy the differentiability needed to construct a Bregman divergence.