viz.analysis.HierarchicalResult
export interface HierarchicalResult {
/** Cluster labels for each point (if numClusters or threshold specified) */
labels?: Int32Array;
/** Number of clusters (if cut) */
numClusters?: number;
/** Dendrogram structure */
dendrogram: DendrogramNode[];
/** Linkage matrix in scipy format [left, right, distance, size] */
linkageMatrix: Float64Array;
/** Order of leaves for optimal dendrogram layout */
leafOrder: number[];
/** Number of original points */
numPoints: number;
/** Linkage method used */
linkage: LinkageMethod;
/** Distance metric used */
metric: DistanceMetric;
}labels(Int32Array)optional- – Cluster labels for each point (if numClusters or threshold specified)
numClusters(number)optional- – Number of clusters (if cut)
dendrogram(DendrogramNode[])- – Dendrogram structure
linkageMatrix(Float64Array)- – Linkage matrix in scipy format [left, right, distance, size]
leafOrder(number[])- – Order of leaves for optimal dendrogram layout
numPoints(number)- – Number of original points
linkage(LinkageMethod)- – Linkage method used
metric(DistanceMetric)- – Distance metric used
Result of hierarchical clustering.