Parallel Non-negative Matrix Tri-Factorization for Text Data Co-clustering-Reference-Cited by-同舟云学术

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Parallel Non-negative Matrix Tri-Factorization for Text Data Co-clustering

Published:2022 Issue: Volume: Page:1-1
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Chen Yufu,Lei Zhiqi,Rao Yanghui,Xie Haoran,Wang Fu Lee,Yin Jian,Li Qing

Funder

Guangdong Basic and Applied Basic Research Foundation

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09697343.pdf?arnumber=9697343

Reference50 articles.

1. Efficient Nonnegative Matrix Factorization via projected Newton method

2. Projected Gradient Methods for Nonnegative Matrix Factorization

3. Parallel Nonnegative Matrix Factorization via Newton Iteration

4. The diagonalized newton algorithm for nonnegative matrix factorization;hamme;Proc 1st Int Conf Learn Representations,2013

5. Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering

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4. Addressing Machine Learning Problems in the Non-Negative Orthant;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

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