clustering-tfjs/dist/index.d.ts

High-performance TypeScript clustering algorithms (K-Means, Spectral, Agglomerative) with TensorFlow.js acceleration and scikit-learn compatibility

export * from './clustering/types';
export { Clustering } from './clustering';
export type { BackendConfig } from './tf-backend';
export { AgglomerativeClustering } from './clustering/agglomerative';
export { SpectralClustering, type LaplacianResult, type EmbeddingResult, type IntermediateSteps, type DebugInfo, } from './clustering/spectral';
export { KMeans } from './clustering/kmeans';
export { pairwiseDistanceMatrix } from './utils/pairwise_distance';
export { findOptimalClusters } from './utils/findOptimalClusters';
export type { ClusterEvaluation, FindOptimalClustersOptions, } from './utils/findOptimalClusters';
export { silhouetteScore, silhouetteScoreSubset, } from './validation/silhouette';
export { daviesBouldin, daviesBouldinEfficient, } from './validation/davies_bouldin';
export { calinskiHarabasz, calinskiHarabaszEfficient, } from './validation/calinski_harabasz';
export { degree_vector, normalised_laplacian, jacobi_eigen_decomposition, smallest_eigenvectors, } from './utils/laplacian';
export { deterministic_eigenpair_processing } from './utils/eigen_post';
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