Lecture

Clustering: K-Means

In course

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Description

This lecture by the instructor covers the concepts of clustering and classification, focusing on the K-means algorithm. It explains how to partition a dataset into clusters based on similarity, the characteristics of clustering methods, the K-means algorithm, and its application for categorical attributes. The lecture also discusses how to choose the optimal number of clusters and the advantages and shortcomings of K-means.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_zdtv017z

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