Uses of Class
edu.ucla.sspace.clustering.Assignments

Packages that use Assignments

Package	Description
edu.ucla.sspace.clustering

Uses of Assignments in edu.ucla.sspace.clustering

Methods in edu.ucla.sspace.clustering that return Assignments

Modifier and Type	Method and Description
Assignments	SpectralClustering.cluster(Matrix matrix) Returns the Cluster Assignments of each data point in matrix.
Assignments	SpectralClustering.cluster(Matrix matrix, int maxClusters, boolean useKMeans) Returns the Cluster for each data point in matrix.
Assignments	ClutoClustering.cluster(Matrix matrix, int numClusters, ClutoClustering.Method clusterMethod, ClutoClustering.Criterion criterionMethod) Clusters the set of rows in the given Matrix into a specified number of clusters using the specified CLUTO clustering method.
Assignments	Streemer.cluster(Matrix matrix, int numClusters, double backgroundClusterPerc, double similarityThreshold, int minClusterSize, SimilarityFunction simFunc)
static Assignments	DirectClustering.cluster(Matrix matrix, int numClusters, int numRepetitions) Clusters matrix using the RandomSeed seeding algorithm and the default kmeans CriterionFunction.
static Assignments	DirectClustering.cluster(Matrix matrix, int numClusters, int numRepetitions, CriterionFunction criterion) Clusters matrix using the RandomSeed seeding algorithm and the specified CriterionFunction.
Assignments	FastStreamingKMeans.cluster(Matrix matrix, int numClusters, int kappa, double beta, SimilarityFunction simFunc) Clusters the rows of the provided matrix into the specified number of clusters in a single pass using the parameters to guide how clusters are formed.
static Assignments	DirectClustering.cluster(Matrix matrix, int numClusters, int numRepetitions, KMeansSeed seedType, CriterionFunction criterion) Clusters matrix using the specified SeedAlgorithm and the specified CriterionFunction.
Assignments	AutomaticStopClustering.cluster(Matrix m, int numClusters, Properties props) Clusters the set of rows in the given Matrix into the specified number of clusters.
Assignments	FastStreamingKMeans.cluster(Matrix matrix, int numClusters, Properties props) Clusters the set of rows in the given Matrix into the specified number of clusters and using the default values for beta, kappa, and the SimilarityFunction, unless otherwise specified in the properties.
Assignments	Streemer.cluster(Matrix matrix, int numClusters, Properties props) Clusters the set of rows in the given Matrix into the specified number of clusters.
Assignments	BisectingKMeans.cluster(Matrix dataPoints, int numClusters, Properties props) Clusters the set of rows in the given Matrix into the specified number of clusters.
Assignments	HierarchicalAgglomerativeClustering.cluster(Matrix m, int numClusters, Properties props) Clusters the set of rows in the given Matrix into the specified number of clusters.
Assignments	CKVWSpectralClustering03.cluster(Matrix matrix, int numClusters, Properties props) Clusters the set of rows in the given Matrix into the specified number of clusters.
Assignments	ClutoClustering.cluster(Matrix matrix, int numClusters, Properties properties) Clusters the set of rows in the given Matrix into the specified number of clusters.
Assignments	DirectClustering.cluster(Matrix matrix, int numClusters, Properties properties) Clusters the set of rows in the given Matrix into the specified number of clusters.
Assignments	LinkClustering.cluster(Matrix matrix, int numClusters, Properties props) Ignores the specified number of clusters and returns the clustering solution according to the partition density.
Assignments	CKVWSpectralClustering06.cluster(Matrix matrix, int numClusters, Properties props) Clusters the set of rows in the given Matrix into the specified number of clusters.
Assignments	ClusteringByCommittee.cluster(Matrix m, int numClusters, Properties props) Ignores the provided number of clusters and clusters the rows of the provided matrix using the CBC algorithm.
Assignments	NeighborChainAgglomerativeClustering.cluster(Matrix m, int numClusters, Properties props) Returns the agglomerative clustering result using NeighborChainAgglomerativeClustering.ClusterLink and SimilarityFunction specified from the constructor.
Assignments	Clustering.cluster(Matrix matrix, int numClusters, Properties props) Clusters the set of rows in the given Matrix into the specified number of clusters.
Assignments	DataMatrixLinkClustering.cluster(Matrix matrix, int numClusters, Properties props)
Assignments	GapStatistic.cluster(Matrix m, int maxClusters, Properties props) Clusters the set of rows in the given Matrix into the specified number of clusters.
Assignments	AutomaticStopClustering.cluster(Matrix matrix, Properties props) Clusters the set of rows in the given Matrix without a specified number of clusters (optional operation).
Assignments	FastStreamingKMeans.cluster(Matrix matrix, Properties props) Throws an UnsupportedOperationException if called.
Assignments	Streemer.cluster(Matrix matrix, Properties props) Clusters the set of rows in the given Matrix without a specified number of clusters
Assignments	BisectingKMeans.cluster(Matrix dataPoints, Properties props) Not implemented.
Assignments	HierarchicalAgglomerativeClustering.cluster(Matrix matrix, Properties props) Clusters the set of rows in the given Matrix without a specified number of clusters (optional operation).
Assignments	CKVWSpectralClustering03.cluster(Matrix matrix, Properties props) Clusters the set of rows in the given Matrix without a specified number of clusters (optional operation).
Assignments	ClutoClustering.cluster(Matrix matrix, Properties properties) Throws an UnsupportedOperationException if called, as CLUTO requires the number of clusters to be specified.
Assignments	DirectClustering.cluster(Matrix matrix, Properties properties) Throws UnsupportedOperationException.
Assignments	LinkClustering.cluster(Matrix matrix, Properties props) Clusters the set of rows in the given Matrix without a specified number of clusters (optional operation).
Assignments	CKVWSpectralClustering06.cluster(Matrix matrix, Properties props) Clusters the set of rows in the given Matrix without a specified number of clusters (optional operation).
Assignments	ClusteringByCommittee.cluster(Matrix m, Properties props) Clusters the rows of m according to the CBC algorithm, using props to specify the configurable parameters of the algorithm.
Assignments	NeighborChainAgglomerativeClustering.cluster(Matrix m, Properties props) Unsupported
Assignments	Clustering.cluster(Matrix matrix, Properties props) Clusters the set of rows in the given Matrix without a specified number of clusters (optional operation).
Assignments	DataMatrixLinkClustering.cluster(Matrix matrix, Properties props)
Assignments	GapStatistic.cluster(Matrix matrix, Properties props) Clusters the set of rows in the given Matrix without a specified number of clusters (optional operation).
static Assignments	NeighborChainAgglomerativeClustering.clusterAdjacencyMatrix(Matrix adj, NeighborChainAgglomerativeClustering.ClusterLink method, int numClusters) Clusters the points represented as an adjacency matrix in adj using the supplied ClusterLink method into numCluster.
static Assignments	NeighborChainAgglomerativeClustering.formAssignments(Collection<Set<Integer>> clusters, int numPoints) Returns the Assignments corresponding to the set of clusters and number of data points.
Assignments	LinkClustering.getSolution(int solutionNum) Returns the clustering solution after the specified number of merge steps.