A Mathematical Theory for Clustering in Metric Spaces

Clustering is one of the most fundamental problems in data analysis and it has been studied extensively in the literature. Though many clustering algorithms have been proposed, clustering theories that justify the use of these clustering algorithms are still unsatisfactory. In particular, one of the...

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Veröffentlicht in:	IEEE transactions on network science and engineering Jg. 3; H. 1; S. 2 - 16
Hauptverfasser:	Chang, Cheng-Shang, Liao, Wanjiun, Chen, Yu-Sheng, Liou, Li-Heng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms Clustering Clustering algorithms convergence duality Extraterrestrial measurements hierarchical algorithms K-sets Kernel Minimization partitional algorithms Partitioning algorithms K-sets hierarchical algorithms Clustering convergence duality partitional algorithms
ISSN:	2327-4697, 2334-329X
Online-Zugang:	Volltext
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