HierNMF2

Hierarchical rank-2 nonnegative matrix factorization (HierNMF2) is an unsupervised algorithm for large-scale document clustering and topic modeling. It is about 20 times faster than LDA with comparable quality. HierNMF2 has also been successfully applied in the area of bioinformatics. This Matlab package is developed for the following paper: Da Kuang, Haesun Park, Fast rank-2 nonnegative matrix factorization for hierarchical document clustering, 2013.