Difference between revisions of "Thread:Talk:DrussGT/Understanding DrussGT/Reason behind using Manhattan distance/reply (9)"

Latest revision as of 03:05, 29 August 2018

my case is noise in another dimension ;)

however if noise is added to the main dimension,

it will be

sqrt((1 + x)^2 + 1)

vs

|1 + x | + 1

and if we put two curves together (shifted so that tey intersects on x=0)

euclidean looks terrible with large noise in one dimension, and manhattan looks robust.

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		+	euclidean looks terrible with large noise in one dimension, and manhattan looks robust.