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IEEE/ICACT20220302 Slide.02        [Big Slide]	Oral Presentation
	Density Peak Clustering (DPC) is one of the most effective density-based clustering algorithms due to its ability to detect arbitrary clusters while being robust to noise. Since the first introduction in 2014, it has been cited a thousand times. In our paper, we present a comprehensive analysis of the DPC algorithm¡¯s performance on some UCI and Gaussian data sets.

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