The recursive scheme of clustering
Machine Learning
2024-01-12 v1
Abstract
The problem of data clustering is one of the most important in data analysis. It can be problematic when dealing with experimental data characterized by measurement uncertainties and errors. Our paper proposes a recursive scheme for clustering data obtained in geographical (climatological) experiments. The discussion of results obtained by k-means and SOM methods with the developed recursive procedure is presented. We show that the clustering using the new approach gives more acceptable results when compared to experts assessments.
Cite
@article{arxiv.2401.05479,
title = {The recursive scheme of clustering},
author = {Alicja Miniak-Górecka and Krzysztof Podlaski and Tomasz Gwizdałła},
journal= {arXiv preprint arXiv:2401.05479},
year = {2024}
}