A truncated nuclear norm and graph-Laplacian regularized low-rank representation method for tumor clustering and gene selection

Abstract Background Clustering and feature selection act major roles in many communities. As a matrix factorization, Low-Rank Representation (LRR) has attracted lots of attentions in clustering and feature selection, but sometimes its performance is frustrated when the data samples are insufficient...

Full description

Bibliographic Details

Published in:	BMC Bioinformatics
Main Author:	Qi Liu
Format:	Article
Language:	English
Published:	BMC 2022-01-01
Subjects:	Low-rank representation Graph-Laplacian Truncated nuclear norm Clustering Gene selection
Online Access:	https://doi.org/10.1186/s12859-021-04333-y