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.
T5, 30/03/2017 - 15:00
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