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IEEE/ICACT20220071 Slide.12        [Big Slide]	Oral Presentation
	The following are our experimental results. Table 2 presents the Rand Index measure obtained by MCSSGC using constraints collected by our method and constraint randomly chosen and we can see that with the same constraints, the MCSSGC obtains the better results compared with using constraint collected randomly. It can be explained by the fact that our algorithm can collect constraints in the good strategy based on cluster centres and min-max method. Intuitively, our method can choose the candidates which cover the whole data set and let the clustering algorithm produces the good results.

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