Belief-peaks clustering based on fuzzy label propagation

Jintao Meng; Dongmei Fu; Yongchuan Tang

doi:10.1007/s10489-019-01576-4

ScienceGate Book Chapters

JOURNAL ARTICLE

Belief-peaks clustering based on fuzzy label propagation

Jintao Meng Dongmei Fu Yongchuan Tang

Year: 2020 Journal: Applied Intelligence Vol: 50 (4)Pages: 1259-1271 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-019-01576-4

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Cluster analysis Fuzzy clustering Outlier Artificial intelligence Data mining Rand index Correlation clustering Partition (number theory) Fuzzy logic Consensus clustering Pattern recognition (psychology) k-medians clustering Robustness (evolution) CURE data clustering algorithm Mathematics

Metrics

Cited By

3.38

FWCI (Field Weighted Citation Impact)

Refs

0.93

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

Belief-peaks clustering based on fuzzy label propagation

Metrics

Citation History

Topics

Related Documents

Dynamic graph-based label propagation for density peaks clustering

Density Peaks Clustering Based on Jaccard Similarity and Label Propagation

Density peaks clustering by granular computing with label propagation

Density Peaks Clustering Based on Label Propagation and K-Mutual-Nearest Neighbors

Incremental Belief-Peaks Evidential Clustering