Consistency regularization for deep semi-supervised clustering with pairwise constraints

Dan Huang; Jie Hu; Tianrui Li; Shengdong Du; Hongmei Chen

doi:10.1007/s13042-022-01599-3

ScienceGate Book Chapters

JOURNAL ARTICLE

Consistency regularization for deep semi-supervised clustering with pairwise constraints

Dan Huang Jie Hu Tianrui Li Shengdong Du Hongmei Chen

Year: 2022 Journal: International Journal of Machine Learning and Cybernetics Vol: 13 (11)Pages: 3359-3372 Publisher: Springer Science+Business Media

DOI: 10.1007/s13042-022-01599-3

Get Full-Text PDF Get Analytical Report

Keywords:

Cluster analysis Pairwise comparison Regularization (linguistics) Computer science Artificial intelligence Semi-supervised learning Consistency (knowledge bases) Leverage (statistics) Machine learning Pattern recognition (psychology) Data mining

Metrics

Cited By

0.78

FWCI (Field Weighted Citation Impact)

Refs

0.70

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Consistency regularization for deep semi-supervised clustering with pairwise constraints

Metrics

Citation History

Topics

Related Documents

Pairwise-Constraints Based Semi-Supervised Fuzzy Clustering with Entropy Regularization

Pairwise constraints-based semi-supervised fuzzy clustering with multi-manifold regularization

Deep multi-view semi-supervised clustering with sample pairwise constraints

Semi-supervised DenPeak Clustering with Pairwise Constraints

Semi-supervised deep embedded clustering with pairwise constraints and subset allocation