Module clustering 

Time series clustering and classification algorithms

This module provides various methods for clustering and classifying time series:

• Time series clustering algorithms (k-means, hierarchical, DBSCAN)
• Distance measures for time series (DTW, Euclidean, correlation-based)
• Time series classification methods (1-NN DTW, shapelet-based, feature-based)
• Shape-based clustering and classification

Structs

DBSCANConfig

Configuration for DBSCAN clustering

HierarchicalConfig

Configuration for hierarchical clustering

KMeansConfig

Configuration for k-means clustering

KNNConfig

Configuration for k-NN classification

Shapelet

Individual shapelet

ShapeletConfig

Configuration for shapelet discovery

ShapeletResult

Shapelet discovery result

TimeSeriesClassificationResult

Classification result

TimeSeriesClusterer

Main struct for time series clustering and classification

TimeSeriesClusteringResult

Clustering result

Enums

ClassificationAlgorithm

Classification algorithms

ClusteringAlgorithm

Clustering algorithms

LinkageMethod

Linkage methods for hierarchical clustering

ShapeletAlgorithm

Shapelet discovery algorithms

TimeSeriesDistance

Distance measures for time series

WeightingScheme

Weighting schemes for k-NN

Type Aliases

ClusteringResult

Result type for clustering and classification