fastmath-clustering.distance — org.clojars.generateme/fastmath-clustering 1.0.0

->edit clj

(->edit)

(->edit max-string-length)

(->edit max-string-length damerau?)

Create Edit distance function.

->mahalanobis clj

(->mahalanobis covariance)

Create Mahalanobis distance function. Covariance should be seq of seqs (or double double array)

->minkowski clj

(->minkowski p)

(->minkowski p weights)

Create Minkowski distance

->smile-distance clj

(->smile-distance distance)

Convert any Clojure function to a SMILE distance object

chebyshev clj

Chebyshev distance

euclidean clj

Euclidean distance

jaccard clj

Jaccard distance

jensen-shannon clj

Jensen-Shannon distance

kendall clj

Kendall correlation distance

manhattan clj

Manhattan distance

pearson clj

Pearson correlation distance

seq->double-array clj

(seq->double-array vs)

Convert sequence to double array. Returns input if vs is double array already.

seq->double-double-array clj

(seq->double-double-array vss)

Convert sequence to double-array of double-arrays.

If sequence is double-array of double-arrays returns vss

spearman clj

Spearman correlation distance

wrap-smile clj

(wrap-smile distance)

Make SMILE object invocable from Clojure as function.