A Comprehensive Approach to Mode Clustering
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Abstract (arXiv)
Mode clustering is a nonparametric method for clustering that defines clusters using the basins of attraction of a density estimator's modes. We provide several enhancements to mode clustering: (i) a soft variant of cluster assignment, (ii) a measure of connectivity between clusters, (iii) a technique for choosing the bandwidth, (iv) a method for denoising small clusters, and (v) an approach to visualizing the clusters. Combining all these enhancements gives us a complete procedure for clustering in multivariate problems. We also compare mode clustering to other clustering methods in several examples
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Jun 2014.
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Citing papers per year: 2021: 5; 2022: 0; 2023: 1; 2024: 0; 2025: 1; 2026: 1.
8 papers.
- 2021Learning with Density Matrices and Random Featurescited by 17
- 2021Space Partitioning and Regression Mode Seeking via a Mean-Shift-Inspired Algorithmcited by 2
- 2021Skeleton Clustering: Dimension-Free Density-based Clusteringcited by 2
- 2021Visual Cluster Separation Using High-Dimensional Sharpened Dimensionality Reductioncited by 2
- 2025Doc2SAR: A Synergistic Framework for High-Fidelity Extraction of Structure-Activity Relationships from Scientific Documentscited by 2
- 2021Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approachcited by 1
- 2023Ridge Estimation with Nonlinear Transformationscited by 0
- 2026Knowledge Cascade: Reverse Knowledge Distillation on Nonparametric Multivariate Functional Estimationcited by 0
- 2026Knowledge Cascade: Reverse Knowledge Distillation on Nonparametric Multivariate Functional Estimation24 Jun 2026
- 2025Doc2SAR: A Synergistic Framework for High-Fidelity Extraction of Structure-Activity Relationships from Scientific Documents24 Jun 2025
- 2023Ridge Estimation with Nonlinear Transformations9 Jun 2023
- 2021Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach16 Oct 2021
- 2021Visual Cluster Separation Using High-Dimensional Sharpened Dimensionality Reduction1 Oct 2021
- 2021Skeleton Clustering: Dimension-Free Density-based Clustering21 Apr 2021
- 2021Space Partitioning and Regression Mode Seeking via a Mean-Shift-Inspired Algorithm20 Apr 2021
- 2021Learning with Density Matrices and Random Features8 Feb 2021