Khoa Toán-Cơ-Tin học

Thời gian: 
T5, 30/03/2017 - 15:00
Địa điểm: 
Người báo cáo: 
GS Werner Stuetzle, Department of Statistics, University of Washington
Tên báo cáo: 
Nonparametric Clustering
Nội dung: 

The goal of clustering is to detect the presence of distinct groups in a data set and assign group labels to the observations. Nonparametric clustering is based on the premise that the observations may be regarded as a sample from some underlying density in feature space and that groups correspond to modes of this density. I will present the basic ideas of nonparametric clustering and discuss open problems.