Fuzzy C-Means clustering of incomplete data based on probabilistic information granules of missing values
Knowl.-Based Syst., Volume 99, Issue C, 2016, Pages 51-70.
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 missing values into the algorithm of fuzzy cl...More
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