Study on density peaks clustering based on k-nearest neighbors and principal component analysis

Density peaks clustering (DPC) algorithm published in the US journal Science in 2014 is a novel clustering algorithm based on density. It needs neither iterative process nor more parameters. However, original algorithm only has taken into account the global structure of data, which leads to missing...

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Veröffentlicht in:	Knowledge-based systems 2016-05, Vol.99, p.135-145
Hauptverfasser:	Du, Mingjing, Ding, Shifei, Jia, Hongjie
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Clusters Data clustering Density Density peaks k Nearest neighbors (KNN) Knowledge base Principal component analysis Principal component analysis (PCA) Spectra
Online-Zugang:	Volltext
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