Interval kernel Fuzzy C-Means clustering of incomplete data


In the clustering of incomplete data, the processing of missing attribute values and the optimization procedure of clustering are always of concern. In this paper, a novel clustering method is proposed to cope with incomplete data. Owing to the uncertainty of missing values, we first estimate these values in the form of intervals using the nearest neighbor… (More)
DOI: 10.1016/j.neucom.2017.01.017


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