Shengbin Xu

Non-negative matrix factorization based on maximum entropy principle under sparse constraint for clustering

The maximum entropy non-negative matrix factorization (MENMF) is proposed to adjust the distance relationship of latent feature representation extracted by NMF from two aspects of enhancing the correlation of neighboring points and reducing the correlation of separated points, so as to restore the local geometric struc...