Abstract:In this paper, we consider the problem of searching for an optimal partition with the most appropriate number of clusters for an incomplete data set A ⊂ R n in which several outliers might occur. Special attention is given to the application of the Least Squares distance-like function. The procedure of preparing the incomplete data set and the outlier elimination procedure are proposed such that the clustering process gives acceptable solutions. Appropriate justifications with proof are provided for these proc… Show more
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