Incomplete bindings to Commons Math, EJML, and other math-related bits of code, to make up for the lack of NumPy and SciPy in Clojure.
Supported vector operations are: plus, minus, scale, norm,
normalize, dist, dot, and cross.
Currently supported vector representations: any
clojure.lang.Seqable, double arrays, Vector2D from Vector3D from
Commons Math 3, DenseMatrix64F from EJML.
To create Commons Math's vectors from Clojure sequences, use to-vector:
(use 'clojure.math.geometry)
(use '[clojure.math.internal.cmath3 :only [to-vector]])
(let [x (to-vector [1 2 3])
y (to-vector [4 5 6])]
(cross x y))
Using Commons Math's vector constructors directly results in faster
operations, but you don't get a Seqable instance.
For discrete convolution of one-dimensonal sequences:
user=> (use 'clojure.math.signal)
nil
user=> (conv [1 2 3 4 5] [0.25 0.5 0.25] :valid)
[2.0 3.0 4.0]
The third parameter to conv is optional; acceptable values are:
:full (default), :same, and :valid. The semantics is the same as
for mode parameter of numpy.convolve.
Currently supported data types are: double arrays and vectors.
For median filter use medfilt:
user=> (use 'clojure.math.signal)
nil
user=> (medfilt [0 0 1 0 0 0 2 0 3 0 0] 5)
(0 0 0 0 0 0 0 0 0 0 0)
Fitting lines using total least squares
user=> (use 'clojure.math.geometry.fit)
nil
user=> (fit-line [[0 1] [1 2] [2 3.1] [4 5]])
{:point [1.75 2.775], :direction [-0.7059474712429025 -0.7082641935363889]}
Copyright © 2013 Sergey Astanin
Distributed under the Eclipse Public License, the same as Clojure.