Clustering by Hill-Climbing: Consistency Results
Statistics Theory
2022-02-21 v1 Classical Analysis and ODEs
Machine Learning
Statistics Theory
Abstract
We consider several hill-climbing approaches to clustering as formulated by Fukunaga and Hostetler in the 1970's. We study both continuous-space and discrete-space (i.e., medoid) variants and establish their consistency.
Keywords
Cite
@article{arxiv.2202.09023,
title = {Clustering by Hill-Climbing: Consistency Results},
author = {Ery Arias-Castro and Wanli Qiao},
journal= {arXiv preprint arXiv:2202.09023},
year = {2022}
}