An improved density peaks clustering algorithm with fast finding cluster centers

Fast and efficient are common requirements for all clustering algorithms. Density peaks clustering algorithm (DPC) can deal with non-spherical clusters well. However, due to the difficulty of large-scale data set storage and its high computational complexity, how to conduct effective data mining has...

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Vydané v:	Knowledge-based systems Ročník 158; s. 65 - 74
Hlavní autori:	Xu, Xiao, Ding, Shifei, Shi, Zhongzhi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 15.10.2018 Elsevier Science Ltd
Predmet:	Algorithms Clinical assessment Clustering Complexity Complexity theory Computational complexity Data Data mining Datasets Decision graph Density Density peaks clustering algorithm Information retrieval Large-scale data set Prescreening strategy Storage Strategies Strategy Density peaks clustering algorithm Decision graph Computational complexity Large-scale data set Prescreening strategy
ISSN:	0950-7051, 1872-7409
On-line prístup:	Získať plný text
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