lambda-ml.distance
Functions that compute measures of distance between values.
cosine
(cosine x y)(cosine x y d)Returns the cosine distance between two points by subtracting the cosine similarity from 1. Assumes that both points are represented as sequences of the same dimension. Given a dimension d, returns the distance between two points as if the values for all other dimensions were set to zero.
euclidean
(euclidean x y)(euclidean x y d)Returns the Euclidean distance (squared) between two points. Assumes that both points are represented as sequences of the same dimension. Given a dimension d, returns the distance between two points as if the values for all other dimensions were set to zero.
haversine
(haversine [lat1 lng1] [lat2 lng2])(haversine x y d)Returns the great-circle distance between two points represented as geographic coordinates. Given a dimension d, returns the distance between the two points as if the value for the other dimension was set to zero.
jaccard
(jaccard x y)(jaccard x y d)Returns the Jaccard distance between two points by subtracting the Jaccard similarity coefficient from 1. Assumes that both points are represented as sequences of the same dimension. Given a dimension d, returns the distance between two points as if the values for all other dimensions were set to zero.