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The 'curse of dimensionality' (encountered in distance based methods like knn) arises from the fact that with increasing number of attributes, the data becomes sparse,
The 'curse of dimensionality' (encountered in distance based methods like knn) arises from the fact that with increasing number of attributes, the data becomes sparse, and the distance been closest and furthest examples becomes similar
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