Khoa Toán-Cơ-Tin học

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.