October 2017
Beginner to intermediate
270 pages
7h
English
Content preview from Machine Learning for Developers
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Nearest neighbors
K-NN is another classical method of clustering. It builds groups of samples, supposing that each new sample will have the same class as its neighbors, without looking for a global representative central sample. Instead, it looks at the environment, looking for the most frequent class on each new sample's environment.
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