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IEEE/ICACT20230188 Slide.02        [Big Slide]	Oral Presentation
	First of all, although clustering analysis has been studied in nearly 70 years, it has attracted a lot of attention these days because of the need of new adaptation clustering method to real KDD applications. The aim of clustering algorithm is to divide X into k groups, called clusters, such that the points in the same cluster are similar and the points in different clusters are dissimilar.

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