Difference between revisions of "Thread:Talk:DrussGT/Understanding DrussGT/Reason behind using Manhattan distance/reply (5)"

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euclidean seems to be even better when noice has less energy than the main dimensions.
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euclidean seems to be even more tolerant when noice has less energy than the main dimensions.
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So manhattan seems to be more "elite-oriented", dropping points with offsets in another dimension more aggressively.

Revision as of 03:22, 28 August 2018

Squaring does not affect the order of nearest points, then with knn the same data points should be chosen.

And about noice

IMG 5655.GIF

euclidean seems to be even more tolerant when noice has less energy than the main dimensions.

So manhattan seems to be more "elite-oriented", dropping points with offsets in another dimension more aggressively.

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