February 2019
Intermediate to advanced
386 pages
9h 54m
English
Content preview from Hands-On Unsupervised Learning with Python
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Evaluation metrics
In this section, we are going to analyze some common methods that can be employed to evaluate the performances of a clustering algorithm and also to help find the optimal number of clusters.