Topological data analysis and clustering
arXiv:2201.09054v1
AI Analysis
This addresses the need for better clustering algorithms for data analysis applications, but appears incremental as it builds on existing topological concepts.
The paper tackles the problem of improving clustering techniques in machine learning by incorporating ideas from topology, resulting in enhanced clustering methods.
Clustering is one of the most common tasks of Machine Learning. In this paper we examine how ideas from topology can be used to improve clustering techniques.