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Could someone tell me what is the curse of dimensionality in Machine Learning?

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According to Wikipedia, the curse of dimensionality is all about the phenomena that occurs during classification, analyzing, and organizing high dimensional data that is absent while analyzing low 3-Dimensional spaces.

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