Unsupervised K-Means Clustering Algorithm

The k-means algorithm is generally the most known and used clustering method. There are various extensions of k-means to be proposed in the literature. Although it is an unsupervised learning to clustering in pattern recognition and machine learning, the k-means algorithm and its extensions are alwa...

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Veröffentlicht in:	IEEE access Jg. 8; S. 80716 - 80727
Hauptverfasser:	Sinaga, Kristina P., Yang, Miin-Shen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Cluster analysis Clustering Clustering algorithms Clustering methods Entropy Indexes initializations K-means Linear programming Machine learning Machine learning algorithms number of clusters Parameters Pattern recognition Unsupervised k-means (U-k-means) Unsupervised learning unsupervised learning schema Vector quantization
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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