{"total":17,"rows":[{"id":"2208.08561","title":"Geometric Scattering on Measure Spaces","created":"2022-08-17","cited_by_count":17,"area":null},{"id":"2307.05750","title":"Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms","created":"2023-07-07","cited_by_count":12,"area":null},{"id":"2407.09297","title":"Learning Distances from Data with Normalizing Flows and Score Matching","created":"2024-07-12","cited_by_count":10,"area":null},{"id":"2102.00500","title":"A Multiscale Environment for Learning by Diffusion","created":"2021-01-31","cited_by_count":8,"area":null},{"id":"2107.13610","title":"Large sample spectral analysis of graph-based multi-manifold clustering","created":"2021-07-28","cited_by_count":8,"area":null},{"id":"2202.08789","title":"Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth","created":"2022-02-17","cited_by_count":7,"area":null},{"id":"2306.01699","title":"Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy","created":"2023-06-02","cited_by_count":2,"area":null},{"id":"2312.11323","title":"UniForCE: The Unimodality Forest Method for Clustering and Estimation of the Number of Clusters","created":"2023-12-18","cited_by_count":2,"area":null},{"id":"2509.03703","title":"EmbedOR: Provable Cluster-Preserving Visualizations with Curvature-Based Stochastic Neighbor Embeddings","created":"2025-09-03","cited_by_count":2,"area":null},{"id":"2108.08687","title":"Clustering dynamics on graphs: from spectral clustering to mean shift through Fokker-Planck interpolation","created":"2021-08-18","cited_by_count":1,"area":null},{"id":"2301.05994","title":"Min-Max-Jump distance and its applications","created":"2023-01-15","cited_by_count":1,"area":null},{"id":"2408.10084","title":"TANGO: Clustering with Typicality-Aware Nonlocal Mode-Seeking and Graph-Cut Optimization","created":"2024-08-19","cited_by_count":1,"area":null},{"id":"2604.23573","title":"High-dimensional Semi-supervised Classification via the Fermat Distance","created":"2026-04-26","cited_by_count":1,"area":null},{"id":"2406.17952","title":"LINSCAN -- A Linearity Based Clustering Algorithm","created":"2024-06-25","cited_by_count":0,"area":null},{"id":"2507.08243","title":"CoreSPECT: Enhancing Clustering Algorithms via an Interplay of Density and Geometry","created":"2025-07-11","cited_by_count":0,"area":null},{"id":"2507.10710","title":"Robust Multi-Manifold Clustering via Simplex Paths","created":"2025-07-14","cited_by_count":0,"area":null},{"id":"2608.02483","title":"Fermat Active Laplace Learning for Semi-Supervised Hyperspectral Image Classification","created":"2026-08-03","cited_by_count":0,"area":null}],"next_cursor":null}