Rank-r Discrete Matrix Factorization for Anchor Graph Clustering
Considering many graph clustering methods are with quadratic or cubic time complexity and
need post-processing to obtain the discrete solution. Combining with the anchor graph, we …
need post-processing to obtain the discrete solution. Combining with the anchor graph, we …
Sparse correspondence analysis for large contingency tables
We propose sparse variants of correspondence analysis (CA) for large contingency tables
like documents-terms matrices used in text mining. By seeking to obtain many zero …
like documents-terms matrices used in text mining. By seeking to obtain many zero …
A Fuzzy Co‐Clustering Algorithm via Modularity Maximization
Y Liu, J Chen, H Chao - Mathematical Problems in Engineering, 2018 - Wiley Online Library
In this paper we propose a fuzzy co‐clustering algorithm via modularity maximization,
named MMFCC. In its objective function, we use the modularity measure as the criterion for …
named MMFCC. In its objective function, we use the modularity measure as the criterion for …