Auto-adjustable hypergraph regularized non-negative matrix factorization for image clustering-Reference-Cited by-同舟云学术

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Auto-adjustable hypergraph regularized non-negative matrix factorization for image clustering

Published:2024-01 Issue: Volume:145 Page:109963
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Zuo Hongliang,Li Shuo,Liang Cong,Li Juntao^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference37 articles.

1. Learning the parts of objects by non-negative matrix factorization;Lee;Nature,1999

2. Algorithms for non-negative matrix factorization;Lee,2001

3. Structural brain networks in schizophrenia based on nonnegative matrix factorization;Dai;Psychiatry Res.,2023

4. Regularized non-negative matrix factorization for identifying differential genes and clustering samples: A survey;Liu;IEEE/ACM Trans. Comput. Biol. Bioinform.,2018

5. Learning spatially localized, parts-based representation;Li,2001

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1. Prediction of Intense Convective Precipitation via EMD-NARX-DBN;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

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