'Closest cluster center' diaporamas de présentation

Recap

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CS 312: Algorithm Analysis

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Clustering

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Given a set of data points as input Randomly assign each point to one of the k clusters

k -means Clustering Algorithm. Given a set of data points as input Randomly assign each point to one of the k clusters Repeat until convergence Calculate model of each of the k clusters Assign each point to the cluster with the closest model. k -means Clustering Example.

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