%0 Journal Article
%T Why Topology for Machine Learning and Knowledge Extraction?
%A Massimo Ferri
%J -
%D 2019
%R https://doi.org/10.3390/make1010006
%X Abstract Data has shape, and shape is the domain of geometry and in particular of its ˇ°freeˇ± part, called topology. The aim of this paper is twofold. First, it provides a brief overview of applications of topology to machine learning and knowledge extraction, as well as the motivations thereof. Furthermore, this paper is aimed at promoting cross-talk between the theoretical and applied domains of topology and machine learning research. Such interactions can be beneficial for both the generation of novel theoretical tools and finding cutting-edge practical applications. View Full-Tex
%K shape
%K geometry
%K topological data analysis
%K persistence
%U https://www.mdpi.com/2504-4990/1/1/6