Package org.apache.spark.ml.clustering
package org.apache.spark.ml.clustering
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ClassesClassDescriptionA bisecting k-means algorithm based on the paper "A comparison of document clustering techniques" by Steinbach, Karypis, and Kumar, with modification to fit Spark.Model fitted by BisectingKMeans.Summary of BisectingKMeans.Summary of clustering algorithms.Distributed model fitted by
LDA.Gaussian Mixture clustering.Multivariate Gaussian Mixture Model (GMM) consisting of k Gaussians, where points are drawn from each Gaussian i with probability weights(i).Summary of GaussianMixture.K-means clustering with support for k-means|| initialization proposed by Bahmani et al.Model fitted by KMeans.Summary of KMeans.Latent Dirichlet Allocation (LDA), a topic model designed for text documents.Model fitted byLDA.Local (non-distributed) model fitted byLDA.Power Iteration Clustering (PIC), a scalable graph clustering algorithm developed by Lin and Cohen.