Useful metric spaces include the manhattan distance between two points,
the Levenshtein edit distance between two strings, the number of
edges in the shortest path between two nodes in an undirected graph
and the Hamming distance between two binary strings. Any euclidean
space also has a metric. However, in this module we use int-valued
metrics and that's not compatible with the metrics of euclidean
spaces which are real-values.
Useful metric spaces include the manhattan distance between two points, the Levenshtein edit distance between two strings, the number of edges in the shortest path between two nodes in an undirected graph and the Hamming distance between two binary strings. Any euclidean space also has a metric. However, in this module we use int-valued metrics and that's not compatible with the metrics of euclidean spaces which are real-values.
(Since version 7.0.1) Redundant to spire's
MetricSpacescalaz.BKTree