Identifying homogeneous subgroups of patients and important features: a topological machine learning approach

Identifying homogeneous subgroups of patients and important features: a topological machine learning approach

Abstract Background This paper exploits recent developments in topological data analysis to present a pipeline for clustering based on Mapper, an algorithm that reduces complex data into a one-dimensional graph. Results We present a pipeline to identify and summarise clusters based on statistically...

Full description

Bibliographic Details
Main Authors: Ewan Carr, Mathieu Carrière, Bertrand Michel, Frédéric Chazal, Raquel Iniesta
Format: Article
Language:English
Published: BMC 2021-09-01
Series:BMC Bioinformatics
Subjects:
Topological data analysis
Clustering
Machine learning
Online Access:https://doi.org/10.1186/s12859-021-04360-9

Similar Items

Similar Items