fastmath.distance

Distance objects.

Objects implement IFn, Smile and Apache Commons Math distance interfaces.

canberra

Canberra distance

Examples

Usage

(canberra [1 2 4 4] [-1 3 4 -5])
;;=> 2.2

chebyshev

Chebyshev distance

Examples

Usage

(chebyshev [1 2 4 4] [-1 3 4 -5])
;;=> 9.0

correlation

Correlation distance

Examples

Usage

(correlation [1 2 4 4] [-1 3 4 -5])
;;=> 1.094551438155196

cosine

Cosine distance

Examples

Usage

(cosine [1 2 4 4] [-1 3 4 -5])
;;=> 0.9769795372241935

discrete

Discrete distance

Examples

Usage

(discrete [1 2 4 4] [-1 3 4 -5])
;;=> 3.0

earth-movers

Earth-Movers distance

Examples

Usage

(earth-movers [1 2 4 4] [-1 3 4 -5])
;;=> 14.0

euclidean

Euclidean distance

Examples

Usage

(euclidean [1 2 4 4] [-1 3 4 -5])
;;=> 9.273618495495704

euclidean-sq

Squared Euclidean distance

Examples

Usage

(euclidean-sq [1 2 4 4] [-1 3 4 -5])
;;=> 86.0

jensen-shannon

Jensen-Shannon distance

Examples

Usage

(jensen-shannon [1 2 4 4] [1 3 4 5])
;;=> 0.27959614036771147

make-mahalanobis

(make-mahalanobis cov)

Create Mahalonobis distance for given covariance (seq of seqs) matrix.

Examples

Usage

(let [cov (stats/covariance-matrix [[1 2 4 4] [-1 3 4 -5]])
      d (make-mahalanobis cov)]
  (d [1 2] [3 4]))
;;=> 1.4683705013748423

make-minkowski

(make-minkowski p weights)(make-minkowski p)

Create Minkowski distance for order p and optional weights for each dimension.

Examples

Usage

(let [d (make-minkowski 0.5)] (d [1 2 4 4] [-1 3 4 -5]))
;;=> 29.313708498984774
(let [d (make-minkowski 3.0)] (d [1 2 4 4] [-1 3 4 -5]))
;;=> 9.036885658095787
(let [d (make-minkowski 2.0 [0.1 0.2 0.4 0.3])]
  (d [1 2 4 4] [-1 3 4 -5]))
;;=> 4.989989979949861

manhattan

Manhattan distance

Examples

Usage

(manhattan [1 2 4 4] [-1 3 4 -5])
;;=> 12.0