BrayCurtisDistance[u, v] gives the Bray\[Dash]Curtis distance between vectors u and v.
CorrelationDistance[u, v] gives the correlation coefficient distance between vectors u and v.
ImageKeypoints[image] finds key features in image and returns their coordinates.ImageKeypoints[image, prop] gives the specified property prop for each keypoint.
ManhattanDistance[u, v] gives the Manhattan or "city block" distance between vectors u and v.
NormalizedSquaredEuclideanDistance[u, v] gives the normalized squared Euclidean distance between vectors u and v.
SquaredEuclideanDistance[u, v] gives the squared Euclidean distance between vectors u and v.
EuclideanDistance[u, v] gives the Euclidean distance between vectors u and v.
FindShortestTour[{e_1, e_2, ...}] attempts to find an ordering of the e_i that minimizes the total distance on a tour that visits all the e_i once.
The function FindClusters finds clusters in a dataset based on a distance or dissimilarity function. This package contains functions for generating cluster hierarchies and ...
Partition[list, n] partitions list into non-overlapping sublists of length n. Partition[list, n, d] generates sublists with offset d. Partition[list, {n_1, n_2, ...}] ...