A joint sparse self-representation learning method for multiview clustering
- 20 October 2025
- journal article
- research article
- Published by Springer Nature in Applied Intelligence
- Vol. 55 (16) , 1-21
Abstract
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Funding Information
- National Natural Science Foundation of China (12301405, 62406261)
- Natural Science Basic Research Program of Shaanxi Province (23JSZ010)
- Fundamental Research Funds for the Central Universities (ZYTS25201)
This publication has 41 references indexed in Scilit:
- Consensus representation-driven structured graph learning for multi-view clusteringApplied Intelligence, 2024
- Beyond linear subspace clustering: A comparative study of nonlinear manifold clustering algorithmsComputer Science Review, 2021
- Diversity and consistency embedding learning for multi-view subspace clusteringApplied Intelligence, 2021
- CMC: A consensus multi-view clustering model for predicting Alzheimer’s disease progressionComputer Methods and Programs in Biomedicine, 2021
- Adaptive projected gradient thresholding methods for constrained l 0 problemsScience China Mathematics, 2015
- The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergentMathematical Programming, 2014
- Robust and Efficient Subspace Segmentation via Least Squares Regression2012
- Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categoriesComputer Vision and Image Understanding, 2007
- Comparing partitionsJournal of Classification, 1985
- The Approximation of One Matrix by Another of Lower RankPsychometrika, 1936