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torch.js· 2026
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  5. HierarchicalResult

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.

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