Thread:Talk:DrussGT/Understanding DrussGT/Reason behind using Manhattan distance/reply (4)

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Latest revision as of 00:28, 28 August 2018

I have 2 hypotheses:

- Manhattan distance is more tolerant to noise than Euclidean distance. Squaring a dimension amplifies noise.

- Curse of dimensionality. Euclidean distance behaves oddly at high dimensions.

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