Fuzzy C-Means clustering of incomplete data based on probabilistic information granules of missing values

Missing values are a common phenomenon when dealing with real-world data sets. Analysis of incomplete data sets has become an active area of research. In this paper, we focus on the problem of clustering incomplete data, which is intended to introduce some prior distribution information of the missi...

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Veröffentlicht in:	Knowledge-based systems 2016-05, Vol.99, p.51-70
Hauptverfasser:	Zhang, Liyong, Lu, Wei, Liu, Xiaodong, Pedrycz, Witold, Zhong, Chongquan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Alternating optimization Clustering Fuzzy Fuzzy clustering Granular materials Granules Incomplete data Missing value Probabilistic information granules Probabilistic methods Probability theory
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