A Data-Driven Parameter Adaptive Clustering Algorithm Based on Density Peak

Clustering is an important unsupervised machine learning method which can efficiently partition points without training data set. However, most of the existing clustering algorithms need to set parameters artificially, and the results of clustering are much influenced by these parameters, so optimiz...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Complexity (New York, N.Y.) Jg. 2018; H. 2018; S. 1 - 14
Hauptverfasser:	Du, Tao, Wang, Qin, Qu, Shouning
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2018 Hindawi John Wiley & Sons, Inc Wiley
Schlagworte:	Adaptive algorithms Algorithms Clustering Complexity Datasets Density Efficiency Information science Knowledge discovery Machine learning Neighborhoods Parameters Pattern recognition Principal components analysis Specific gravity
ISSN:	1076-2787, 1099-0526
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!