Semi-supervised multi-view clustering with Graph-regularized Partially Shared Non-negative Matrix Factorization

Naiyao Liang; Zuyuan Yang; Zhenni Li; Shengli Xie; Chun‐Yi Su

doi:10.1016/j.knosys.2019.105185

ScienceGate Book Chapters

JOURNAL ARTICLE

Semi-supervised multi-view clustering with Graph-regularized Partially Shared Non-negative Matrix Factorization

Naiyao Liang Zuyuan Yang Zhenni Li Shengli Xie Chun‐Yi Su

Year: 2019 Journal: Knowledge-Based Systems Vol: 190 Pages: 105185-105185 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2019.105185

Get Full-Text PDF Get Analytical Report

Keywords:

Cluster analysis Dimensionality reduction Clustering coefficient Graph Matrix decomposition Non-negative matrix factorization Computer science ENCODE Mathematics Factor graph Pattern recognition (psychology) Artificial intelligence Theoretical computer science Algorithm

Metrics

Cited By

2.99

FWCI (Field Weighted Citation Impact)

Refs

0.93

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Computing and Algorithms

Social Sciences → Social Sciences → Urban Studies

Semi-supervised multi-view clustering with Graph-regularized Partially Shared Non-negative Matrix Factorization

Metrics

Citation History

Topics

Related Documents

Semi-supervised multi-view clustering with dual hypergraph regularized partially shared non-negative matrix factorization

Deep graph regularized non-negative matrix factorization for multi-view clustering

Incomplete multi-view clustering with incomplete graph-regularized orthogonal non-negative matrix factorization

Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data

Semi-supervised visual recognition with constrained graph regularized non negative matrix factorization