A New Semi Non-Negative Matrix Factorization Clustering Algorithm Based on Orthogonality and Graph Regularity Conditions

Author:

Zhao Junjian,Li Wen,Chen Yasong

Publisher

Elsevier BV

Reference45 articles.

1. Orthogonal nonnegative matrix tri-factorization based on tweedie distributions;H Abe;Advances in Data Analysis and Classification,2019

2. A semi-nmf-pca unified framework for data clustering;K Allab;IEEE Transactions on Knowledge and Data Engineering,2016

3. Graph regularized nonnegative matrix factorization for data representation;D Cai;IEEE transactions on pattern analysis and machine intelligence,2010

4. Graph regularization weighted nonnegative matrix factorization for link prediction in weighted complex network;G Chen;Neurocomputing,2019

5. Orthogonal nonnegative matrix t-factorizations for clustering;C Ding;Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining,2006

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