Uses of Class
biggests.clustering.ClusterTreeNode

Packages that use ClusterTreeNode
biggests.clustering   
 

Uses of ClusterTreeNode in biggests.clustering
 

Methods in biggests.clustering that return ClusterTreeNode
 ClusterTreeNode[] HierarchicalClustering.averageLinkageClustering(double[][] distanceMatrix)
          Performs clustering using pairwise average-linking on the given distance matrix.
 ClusterTreeNode[] HierarchicalClustering.centroidLinkageClustering(double[][] expressionData, int[][] missingsMask, double[] elementsWeights, double[][] distanceMatrix, char distanceMetric, boolean clusteringDimension)
          Performs clustering using pairwise centroid-linking on a given set of gene expression data (specified by expressionData and missingsMask), using the distance matrix given by distanceMatrix.
 ClusterTreeNode[] HierarchicalClustering.completeLinkageClustering(double[][] distanceMatrix)
          Performs clustering using pairwise complete-linkage on the given distance matrix.
 ClusterTreeNode[] HierarchicalClustering.hierarchicalClusteringWithTreeOutput(double[][] expressionData, int[][] missingsMask, double[] elementsWeights, boolean clusteringDimension, char distanceMetric, char clusteringMethod, double[][] distanceMatrix)
          Performs hierarchical clustering using pairwise single-, maximum-, centroid-, or average-linkage, as defined by clusteringMethod, on a given set of gene expression data, using the distance metric given by distanceMetric.
 ClusterTreeNode[] HierarchicalClustering.singleLinkageClustering(double[][] expressionData, int[][] missingsMask, double[] elementsWeights, double[][] distanceMatrix, char distanceMetric, boolean clusteringDimension)
          Performs single-linkage hierarchical clustering, using either the distance matrix directly, if available, or by calculating the distances from the expression data matrix.
 

Methods in biggests.clustering with parameters of type ClusterTreeNode
 void HierarchicalClustering.sortClusteringTree(boolean sortingDimension, double[] clusteringDimensionOrder, double[] nodesOrder, int[] nodesCounts, ClusterTreeNode[] tree)
          Sorts the nodes of the tree based on the tree's structure.
 

Constructors in biggests.clustering with parameters of type ClusterTreeNode
ClusterTreeNode(ClusterTreeNode node)
          Copy constructor.