Adaptive clustering algorithm based on kNN and density

Although many clustering algorithms have been proposed, they all have various limitations. Existing clustering algorithms usually require the user to set the appropriate threshold parameters and those parameters are usually not adaptive. In this paper, a new clustering method is proposed. Firstly, t...

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Bibliographic Details
Published in:	Pattern recognition letters Vol. 104; pp. 37 - 44
Main Authors:	Shi, Bing, Han, Lixin, Yan, Hong
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.03.2018 Elsevier Science Ltd
Subjects:	Adaptive Adaptive algorithms Adaptive sampling Algorithms Cluster analysis Clustering Density Density distribution kNN Mathematical models Outliers (statistics) Parameters Samples Search engines Statistical analysis Statistical methods Statistical models kNN Adaptive Clustering Density SR
ISSN:	0167-8655, 1872-7344
Online Access:	Get full text
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