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#Org.apache.spark.mllib.clustering Classes and Interfaces - 20 results found.
NameDescriptionTypePackageFramework
BisectingKMeansA bisecting k-means algorithm based on the paper "A comparison of document clustering techniques" by Steinbach, Karypis, and Kumar, with modification to fit Spark.Classorg.apache.spark.mllib.clusteringApache Spark
BisectingKMeansModelClustering model produced by BisectingKMeans.Classorg.apache.spark.mllib.clusteringApache Spark
DistributedLDAModelClassorg.apache.spark.mllib.clusteringApache Spark
EMLDAOptimizer Optimizer for EM algorithm which stores data + parameter graph, plus algorithm parameters.Classorg.apache.spark.mllib.clusteringApache Spark
ExpectationSumClassorg.apache.spark.mllib.clusteringApache Spark
GaussianMixtureThis class performs expectation maximization for multivariate Gaussian Mixture Models (GMMs).Classorg.apache.spark.mllib.clusteringApache Spark
GaussianMixtureModelMultivariate Gaussian Mixture Model (GMM) consisting of k Gaussians, where points are drawn from each Gaussian i=1.Classorg.apache.spark.mllib.clusteringApache Spark
KMeansK-means clustering with support for multiple parallel runs and a k-means++ like initialization mode (the k-meansalgorithm by Bahmani et al).Classorg.apache.spark.mllib.clusteringApache Spark
KMeansModelA clustering model for K-means.Classorg.apache.spark.mllib.clusteringApache Spark
LDALatent Dirichlet Allocation (LDA), a topic model designed for text documents.Classorg.apache.spark.mllib.clusteringApache Spark
LDAModelLatent Dirichlet Allocation (LDA) model.Classorg.apache.spark.mllib.clusteringApache Spark
LDAOptimizer An LDAOptimizer specifies which optimization/learning/inference algorithm to use, and it can hold optimizer-specific parameters for users to set.Interfaceorg.apache.spark.mllib.clusteringApache Spark
LocalLDAModel This model stores only the inferred topics.Classorg.apache.spark.mllib.clusteringApache Spark
OnlineLDAOptimizer An online optimizer for LDA.Classorg.apache.spark.mllib.clusteringApache Spark
PowerIterationClusteringClassorg.apache.spark.mllib.clusteringApache Spark
PowerIterationClustering .Assignment param: cluster assigned cluster idSee Also:Serialized FormClassorg.apache.spark.mllib.clustering.PowerIterationClusteringApache Spark
PowerIterationClustering .Assignment$Classorg.apache.spark.mllib.clustering.PowerIterationClusteringApache Spark
PowerIterationClusteringModelModel produced by PowerIterationClustering.Classorg.apache.spark.mllib.clusteringApache Spark
StreamingKMeansStreamingKMeans provides methods for configuring a streaming k-means analysis, training the model on streaming,Classorg.apache.spark.mllib.clusteringApache Spark
StreamingKMeansModelStreamingKMeansModel extends MLlib's KMeansModel for streaming algorithms, so it can keep track of a continuously updated weightClassorg.apache.spark.mllib.clusteringApache Spark