Výsledky vyhledávání - "Multi-view data/clustering"

Feature decomposition and structural learning for multi-diverse and multi-view data clustering

Autoři: Yong Zhang Da Liu Li Jiang a další

Zdroj: The Visual Computer. 41:4301-4320

An End-to-End Approach for Graph-Based Multi-View Data Clustering

Autoři: Fadi Dornaika Sally El Hajjar

Zdroj: IEEE Transactions on Big Data. 10:644-654

Orkm: An R Package for Online Multi-View Data Clustering

Autoři: Guangbao Guo Miao Yu Shu Li

Unified Multi-view Data Clustering: Simultaneous Learning of Consensus Coefficient Matrix and Similarity Graph

Autoři: F. Dornaika S. El Hajjar J. Charafeddine a další

Zdroj: Cognitive Computation. 17

Multi-View Data Clustering via Dynamical Optimization of Consensus Laplacian Matrix

Autoři: Senwen Zhan Hao Jiang Dong Shen and Wai-Ki Ching

Zdroj: East Asian Journal on Applied Mathematics. 0:0-0

Multi-view Data Clustering Through Consensus Graph and Data Representation Learning

Autoři: Fadi Dornaika Sally El Hajjar

Zdroj: Advances in Data Clustering ISBN: 9789819776788

Correntropy based Low-rank Matrix Factorization with Multi-view Constraint Graph Learning for Multi-view Data Clustering

Autoři: Nan Zhou Yuanhua Du Pan Chen a další

Multi-view data clustering via non-negative matrix factorization with manifold regularization

Autoři: Ghufran Ahmad Khan Jie Hu Tianrui Li a další

Zdroj: International Journal of Machine Learning and Cybernetics. 13:677-689

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://link.springer.com/article/10.1007/s13042-021-01307-7

A Novel Approach to Learning Consensus and Complementary Information for Multi-View Data Clustering

Autoři: Luong, Thi Ngoc Khanh Nayak, Richi

Zdroj: 2020 IEEE 36th International Conference on Data Engineering (ICDE). :865-876

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Popis souboru: application/pdf

Přístupová URL adresa: https://eprints.qut.edu.au/200582/1/2CMV_ICDE2020_KhanhLuong.pdf
https://ieeexplore.ieee.org/document/9101762/
https://dblp.uni-trier.de/db/conf/icde/icde2020.html#LuongN20
https://eprints.qut.edu.au/200582/
https://www.computer.org/csdl/proceedings-article/icde/2020/09101762/1kaMFf5tkc0
https://doi.org/10.1109/ICDE48307.2020.00080

Semi-Supervised Learning and Feature Fusion for Multi-view Data Clustering

Autoři: Justin Zhan Hadi Salman

Zdroj: 2020 IEEE International Conference on Big Data (Big Data). :645-650

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/bigdataconf/bigdataconf2020.html#SalmanZ20

Correlated and Uncorrelated Feature Co-Learning with Dual Graph Regularization for Multi-View Data Clustering

Autoři: Tingting Sun Chunyang Mo Liang Zhao a další

Zdroj: 2019 IEEE 5th International Conference on Big Data Intelligence and Computing (DATACOM). :325-330

Weighted Multi-View Data Clustering via Joint Non-Negative Matrix Factorization

Autoři: Ghufran Ahmad Khan Jie Hu Qianqian Huang a další

Zdroj: 2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE). :1159-1165

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/iske/iske2019.html#Khan0LDH19

Robust multi-view data clustering with multi-view capped-norm K-means

Autoři: Shudong Huang Yazhou Ren Zenglin Xu

Zdroj: Neurocomputing. 311:197-208

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/journals/ijon/ijon311.html#HuangRX18
https://www.sciencedirect.com/science/article/pii/S092523121830657X

Feature decomposition and structural learning for multi-diverse and multi-view data clustering.

Autoři: Zhang, Yong Liu, Da Jiang, Li a další

Zdroj: Visual Computer; Apr2025, Vol. 41 Issue 6, p4301-4320, 20p

Témata: ARTIFICIAL intelligence, INFORMATION storage & retrieval systems, TIKHONOV regularization, IMAGE processing, LEARNING ability

ORKM: An R package for online multi-view data clustering.

Autoři: Yu, Miao Li, Shu Guo, Guangbao

Zdroj: Neurocomputing. Jan2026, Vol. 663, pN.PAG-N.PAG. 1p.

Unified Multi-view Data Clustering: Simultaneous Learning of Consensus Coefficient Matrix and Similarity Graph.

Autoři: Dornaika, F. El Hajjar, S. Charafeddine, J. a další

Zdroj: Cognitive Computation; Feb2025, Vol. 17 Issue 1, p1-16, 16p

Incomplete multi-view data clustering with hidden data mining and fusion techniques ; Clustering de données multivues incomplètes à l'aide de techniques de mining de données cachées et de fusion

Autoři: Liu, Zhenjiao Département Réseaux et Services Multimédia Mobiles (TSP - RS2M) Institut Mines-Télécom Paris (IMT)-Télécom SudParis (TSP) a další

Přispěvatelé: Liu, Zhenjiao Département Réseaux et Services Multimédia Mobiles (TSP - RS2M) Institut Mines-Télécom Paris (IMT)-Télécom SudParis (TSP) a další

Zdroj: https://theses.hal.science/tel-04419426 ; Computer science. Institut Polytechnique de Paris, 2023. English. ⟨NNT : 2023IPPAS011⟩.

Témata: Hidden Data Mining, Non-Negative matrix factorization, Collaborative Fusion, Low-Rank Tensor, Sparse Low-Rank Representation, Information Bottleneck, Exploration de données cachées, Factorisation matricielle non négative, Fusion coopérative, Tenseurs de bas rang, Représentation á faible rang parcimonieuse, La théorie de goulot d'étranglement de l'information, [SCCO.COMP]Cognitive science/Computer science, [INFO.INFO-WB]Computer Science [cs]/Web

Relation: NNT: 2023IPPAS011

Dostupnost: https://theses.hal.science/tel-04419426
https://theses.hal.science/tel-04419426v1/document
https://theses.hal.science/tel-04419426v1/file/146375LIU2023archivagefinal.pdf

Learning from Multi-View Data: Clustering Algorithm and Text Mining Application (Leren van multi-view gegevens: clustering algoritme en text mining toepassing)

Autoři: Liu, Xinhai De Moor, Bart

Přispěvatelé: Liu, Xinhai De Moor, Bart

Témata: SISTA, STADIUS-11-163

Přístupová URL adresa: https://lirias.kuleuven.be/handle/123456789/312237

Correntropy Based Low-Rank Matrix Factorization with Multi-View Constraint Graph Learning for Multi-View Data Clustering

Autoři: Zhou, Nan Du, Yuanhua Chen, Pan a další

Dostupnost: http://dx.doi.org/10.2139/ssrn.4872123

Multi-view data clustering via non-negative matrix factorization with manifold regularization.

Autoři: Khan, Ghufran Ahmad Hu, Jie Li, Tianrui a další

Zdroj: International Journal of Machine Learning & Cybernetics; Mar2022, Vol. 13 Issue 3, p677-689, 13p