Virual Oral Presentation Slide by Slide

IEEE/ICACT20220071 Slide.02        [Big Slide]	Oral Presentation
	Our research addresses the problem of selecting good constraints for semi-supervised clustering algorithms. For this purpose, we propose an active learning algorithm for the constraints collection task, which relies on the min-max algorithm and peaks estimation based on density score. Experiments conducted on some real data sets from UCI show the effectiveness of our approach.

[Go to Next Slide]

Select Voice: Virtual Oral Presentation!!