The curse of dimensionality describes the phenomenon where the feature space becomes increasingly sparse for an...

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The curse of dimensionality describes the phenomenon where the feature space becomes increasingly sparse for an increasing number of dimensions of a fixed-size training dataset. Intuitively, we can think of even the closest neighbors. What is one suggested solution to the "curse of dimensionality"? The curse of dimensionality describes the phenomenon where the feature space becomes increasingly sparse for an increasing number of dimensions of a fixed-size training dataset. Intuitively, we can think of even the closest neighbors. What is one suggested solution to the "curse of dimensionality"?

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One suggested solution to the curse of dimensionality is dimensionality reduction techniques These t... View the full answer