Lecture 6 — April 16 Lecturer
نویسنده
چکیده
Last time, we introduced the task of hierarchical clustering, in which we aim to produce nested clusterings that reflect the similarity between clusters. This contrasts sharply with our former discussion of “flat” or structureless clustering methods like k-means which do not model relationships between clusters. In this lecture, we will continue our discussion of the standard model-free approaches to hierarchical clustering by considering both of the principal paradigms for hierarchical clustering:
منابع مشابه
Lecture 1 Polynomial Time Hierarchy April 1 , 2008 Lecturer : Paul Beame
We first define the classes in the polynomial-time hierarchy.
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