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Chapter 6:
Similarity, Neighbors, and Clusters (Exemplary techniques…
Chapter 6:
Similarity, Neighbors, and Clusters
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similarity & distance
These data items have multiple attributes, and there’s no single best method for reducing
them to a single similarity or distance measurement.
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Geometric Interpretation, Overfitting, and Complexity Control
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These regions can be calculated by systematically probing points in the instance space, determining each point’s classification & constructing boundary where classifications change