In the above figure the green line represents Euclidean distance whereas red blue and yellow lines are used to represent Manhattan distances. A* is a computer
Manhattan distance is the distance between two points measured along axes. Euclidean distance between points X and Y is the length.
In addition to the K value the distance matrix is an important factor that depends on the KNN algorithm data set. The resulting distance matrix value will
Manhattan Distance and Euclidean Distance [3]. Alamri et al have also done an experimental study about satellite classification using distance matrices by
These include. Euclidean Mahalanobis
research the author compared the Euclidean
May 11 2020 It can be seen that Manhattan distance
Euclidean Distance Manhattan Distance
Jun 29 2020 188D
Keywords: Global encoding k-nearest neighbor