Title
Fuzzy Density Peaks Clustering
Abstract
As an exemplar-based clustering method, the well-known density peaks clustering (DPC) heavily depends on the computation of kernel-based density peaks, which incurs two issues: first, whether kernel-based density can facilitate a large variety of data well, including cases where ambiguity and uncertainty of the assignment of the data points to their clusters may exist, and second, whether the conc...
Year
DOI
Venue
2021
10.1109/TFUZZ.2020.2985004
IEEE Transactions on Fuzzy Systems
Keywords
DocType
Volume
Clustering methods,Uncertainty,Media,Fuzzy sets,Clustering algorithms,Partitioning algorithms,Task analysis
Journal
29
Issue
ISSN
Citations 
7
1063-6706
0
PageRank 
References 
Authors
0.34
17
3
Name
Order
Citations
PageRank
Zekang Bian162.10
Fu-lai Chung224434.50
Shitong Wang31485109.13