MLG 032 Cartesian Similarity Metrics
Machine Learning Guide
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Manhattan Distance Formula, Absolute Value of X I Minus Y I
There's not as many distance functions out there in car sian space as you may have thought there were. The manhattan distance formula is the absolute value of x i minus y i. And we call this manhattan distance the l one norm, which is also the same thing as the mankowski distance where p equals one n. We'll get to that in a bit, but i want to pause here, and i want to point out something that really tripped me up in my early machine learning career. When i first got started, i thought we had five separate things. I thought we had the l onenorm, the l two norm, the mankowskidistance, the manhattan
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