Adaptive Weighted Multi-view Evidential Clustering

Zhe Liu; Haojian Huang; Sukumar Letchmunan

doi:10.1007/978-3-031-44216-2_22

ScienceGate Book Chapters

BOOK-CHAPTER

Adaptive Weighted Multi-view Evidential Clustering

Zhe Liu Haojian Huang Sukumar Letchmunan

Year: 2023 Lecture notes in computer science Pages: 265-277 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-44216-2_22

Get Full-Text PDF Get Analytical Report

Keywords:

Cluster analysis Computer science Partition (number theory) Data mining Constrained clustering Artificial intelligence Singleton Cluster (spacecraft) Scheme (mathematics) Machine learning Fuzzy clustering CURE data clustering algorithm Mathematics

Metrics

Cited By

11.06

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Clustering Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Adaptive Weighted Multi-view Evidential Clustering

Metrics

Citation History

Topics

Related Documents

Evidential Weighted Multi-view Clustering

Adaptive weighted multi-view evidential clustering with feature preference

Multi-View Relational Evidential C-Medoid Clustering with Adaptive Weighted

Multi-View Dynamic Kernelized Evidential Clustering

Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering