All Classes
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All Classes Interface Summary Class Summary Class Description AgglomerationMethod An AgglomerationMethod represents the Lance-Williams dissimilarity update formula used for hierarchical agglomerative clustering.AverageLinkage The "average", "group average", "unweighted average", or "Unweighted Pair Group Method using Arithmetic averages (UPGMA)", is a graph-based approach.CentroidLinkage The "centroid" or "Unweighted Pair-Group Method using Centroids (UPGMC)" method is a geometric approach that links the centroids of clusters.ClusteringBuilder HierarchicalAgglomerativeClusterer.cluster() takes a ClusteringBuilder as its argument, calling its merge() method whenever it merges two clusters.ClusteringBuilderMultiplexer A ClusteringBuilderMultiplexer is a ClusteringBuilder that forwards calls to two other ClusteringBuilders.ClusteringMatrixBuilder A ClusteringMatrixBuilder builds a matrix in which each row represents a step in the clustering and each column represents an observation or cluster.CompleteLinkage The "complete", "maximum", "clique", "furthest neighbor", or "furthest distance" method is a graph-based approach.Dendrogram A Dendrogram represents the results of hierachical agglomerative clustering.DendrogramBuilder A DendrogramBuilder creates a Dendrogram consisting of ObservationNodes and MergeNodes.DendrogramNode A DendrogramNode is a node in a Dendrogram.DissimilarityMeasure Computes the dissimilarity between two observations in an experiment.Experiment An experiment consists of a number of observations.HierarchicalAgglomerativeClusterer The HierarchicalAgglomerativeClusterer creates a hierarchical agglomerative clustering.MedianLinkage The "median", "weighted centroid", "weighted center of mass distance", "Gower", or "Weighted Pair-Group Method using Centroids (WPGMC)" method is a geometric approach.MergeNode A MergeNode represents an interior node in a Dendrogram.ObservationNode An ObservationNode represents a leaf node in a Dendrogram.SingleLinkage The "single linkage", "minimum", "shortest distance", or "nearest neighbor" method is a graph-based approach.WardLinkage The "Ward", "inner squared distance", "sum of squares", "error sum of squares", or "minimum variance" method.WeightedAverageLinkage The "weighted average", "McQuitty", or "Weighted Pair-Group Method using Arithmetic averages, or WPGMA)" method.