Distance Metrics and Representations

Examples demonstrating non-Euclidean metrics, sparse matrices, precomputed graphs, text sequences, time series, and mixed tabular data.

Clustering Sparse CSR Matrices with CLARANS

Clustering Sparse CSR Matrices with CLARANS

Clustering with Precomputed Distance Matrices

Clustering with Precomputed Distance Matrices

Distance Metrics and Metric Parameters in CLARANS Clustering

Distance Metrics and Metric Parameters in CLARANS Clustering

Graph Clustering with Precomputed Shortest-Path Distances

Graph Clustering with Precomputed Shortest-Path Distances

Custom Callable Distance Metric: Geospatial Haversine Clustering

Custom Callable Distance Metric: Geospatial Haversine Clustering

Clustering on Asymmetric Precomputed Distance Matrices (D != D^T)

Clustering on Asymmetric Precomputed Distance Matrices (D != D^T)

Clustering Incomplete Data with Missing Values (NaN)

Clustering Incomplete Data with Missing Values (NaN)

Clustering Non-Vector Data: Text Sequences with Edit Distance

Clustering Non-Vector Data: Text Sequences with Edit Distance

Clustering Time Series with Dynamic Time Warping (DTW)

Clustering Time Series with Dynamic Time Warping (DTW)

Clustering Mixed-Type Tabular Data with Gower’s Dissimilarity

Clustering Mixed-Type Tabular Data with Gower's Dissimilarity