@graphty/algorithms/dist/src/clustering/hierarchical.d.ts

Graph algorithms library for browser environments implemented in TypeScript

/**
 * Hierarchical Clustering Algorithm
 *
 * Builds a hierarchy of clusters through agglomeration (bottom-up)
 * or division (top-down). Useful for understanding multi-scale
 * structure in graphs.
 */
export interface ClusterNode<T> {
    id: string;
    members: Set<T>;
    left?: ClusterNode<T> | undefined;
    right?: ClusterNode<T> | undefined;
    distance: number;
    height: number;
    trees?: ClusterNode<T>[] | undefined;
}
export interface HierarchicalClusteringResult<T> {
    root: ClusterNode<T>;
    dendrogram: ClusterNode<T>[];
    clusters: Map<number, Set<T>[]>;
}
export type LinkageMethod = "single" | "complete" | "average" | "ward";
/**
 * Agglomerative hierarchical clustering
 * Builds clusters bottom-up by merging closest pairs
 *
 * @param graph - Undirected graph
 * @param linkage - Linkage method for cluster distance
 * @returns Hierarchical clustering result
 *
 * Time Complexity: O(n³) naive, O(n² log n) with heap
 * Space Complexity: O(n²)
 */
export declare function hierarchicalClustering<T>(graph: Map<T, Set<T>>, linkage?: LinkageMethod): HierarchicalClusteringResult<T>;
/**
 * Cut dendrogram at specified height to get clusters
 */
export declare function cutDendrogram<T>(root: ClusterNode<T>, height: number): Set<T>[];
/**
 * Cut dendrogram to get k clusters
 */
export declare function cutDendrogramKClusters<T>(root: ClusterNode<T>, k: number): Set<T>[];
/**
 * Compute modularity-based hierarchical clustering
 * Uses modularity gain to decide merges
 */
export declare function modularityHierarchicalClustering<T>(graph: Map<T, Set<T>>): HierarchicalClusteringResult<T>;
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