A comprehensive approach to mode clustering

作者：Chen Yen Chi^*; Genovese Christopher R; Wasserman Larry

来源：Electronic Journal of Statistics, 2016, 10(1): 210-241.

DOI：10.1214/15-EJS1102

• Kernel density estimation
• mean shift clustering
• nonparametric clustering
• soft clustering
• visualization

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.

• 出版日期2016