9 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.IR2014★ 8 cited
Document Clustering Based On Max-Correntropy Non-Negative Matrix Factorization
Le Li, Jianjun Yang, Yang Xu +2
Nonnegative matrix factorization (NMF) has been successfully applied to many areas for classification and clustering. Commonly-used NMF algorithms mainly target on minimizing the $…
cs.CV2014★ 9 cited
Graph Regularized Non-negative Matrix Factorization By Maximizing Correntropy
Le Li, Jianjun Yang, Kaili Zhao +3
Non-negative matrix factorization (NMF) has proved effective in many clustering and classification tasks. The classic ways to measure the errors between the original and the recons…