{"total":15,"rows":[{"id":"2209.09493","title":"A framework for benchmarking clustering algorithms","created":"2022-09-20","cited_by_count":15,"area":null},{"id":"2303.05679","title":"Clustering with minimum spanning trees: How good can it be?","created":"2023-03-10","cited_by_count":4,"area":null},{"id":"2209.02935","title":"Normalised clustering accuracy: An asymmetric external cluster validity measure","created":"2022-09-07","cited_by_count":2,"area":null},{"id":"2404.10351","title":"On the Use of Relative Validity Indices for Comparing Clustering Approaches","created":"2024-04-16","cited_by_count":2,"area":null},{"id":"2410.01778","title":"TopER: Topological Embeddings in Graph Representation Learning","created":"2024-10-02","cited_by_count":1,"area":null},{"id":"2503.15582","title":"Hierarchical clustering with maximum density paths and mixture models","created":"2025-03-19","cited_by_count":1,"area":null},{"id":"2511.05983","title":"Benchmarking of Clustering Validity Measures Revisited","created":"2025-11-08","cited_by_count":1,"area":null},{"id":"2606.00327","title":"Cluster Analysis with Resampling for Validation and Exploration (CARVE)","created":"2026-05-29","cited_by_count":1,"area":null},{"id":"2308.03894","title":"A new approach for evaluating internal cluster validation indices","created":"2023-08-02","cited_by_count":0,"area":null},{"id":"2509.08625","title":"An upper bound on the silhouette evaluation metric for clustering","created":"2025-09-10","cited_by_count":0,"area":null},{"id":"2510.13065","title":"Absolute indices for determining compactness, separability and number of clusters","created":"2025-10-15","cited_by_count":0,"area":null},{"id":"2510.22209","title":"Visual Model Selection using Feature Importance Clusters in Fairness-Performance Similarity Optimized Space","created":"2025-10-25","cited_by_count":0,"area":null},{"id":"2512.01484","title":"Multi-view diffusion geometry using intertwined diffusion trajectories","created":"2025-12-01","cited_by_count":0,"area":null},{"id":"2601.10494","title":"CROCS: A Two-Stage Clustering Framework for Behaviour-Centric Consumer Segmentation with Smart Meter Data","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2602.18348","title":"Explaining AutoClustering: Uncovering Meta-Feature Contribution in AutoML for Clustering","created":"2026-02-20","cited_by_count":0,"area":null}],"next_cursor":null}