Robust clustering by detecting density peaks and assigning points based on fuzzy weighted K-nearest neighbors

Clustering by fast search and find of Density Peaks (referred to as DPC) was introduced by Alex Rodríguez and Alessandro Laio. The DPC algorithm is based on the idea that cluster centers are characterized by having a higher density than their neighbors and by being at a relatively large distance fro...

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Bibliographic Details
Published in:	Information sciences Vol. 354; pp. 19 - 40
Main Authors:	Xie, Juanying, Gao, Hongchao, Xie, Weixin, Liu, Xiaohui, Grant, Philip W.
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.08.2016
Subjects:	Algorithms Clustering Clusters Density Density peaks Fuzzy Fuzzy weighted K-nearest neighbors K-nearest neighbors Local density Outliers (statistics) Searching Strategy K-nearest neighbors Local density Density peaks Clustering Fuzzy weighted K-nearest neighbors
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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