The Jaccard index 1 or Jaccard similarity coefficient defined as the size of the intersection divided by the size of the union of two label sets is used to compare. Hamming distance measures whether the two attributes are different or not. For example if the similarity measurement is 35 then the Jaccard distance 1 -.
Manhattan distance between P and Q x1 x2 y1 y2 Here the total distance of the Red line gives the Manhattan distance between both the points.
D AB. Jaccard distance is also useful as previously cited. Accordingly to find the Jaccard distance simply subtract the percentage value from 1. The Minkowski distance of order p between two points is defined as.