@purnima82 wrote:
In the KNN algorithm, there are various distance metrics that are used. By default or mostly used is Euclidean distance. So my question is what is the advantage of using Manhattan distance over the euclidean distance? and in which scenarios it is preferable to use Manhattan distance over Euclidean?
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