1 unstable release
0.1.0 | Aug 24, 2024 |
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#1928 in Math
7KB
130 lines
curve_similarities
Implementation of calculations for curves similarities as in python package similarity_measures.
At the moment has implementations for Frechet and DTW distances, allowing for both Euclidean and Manhattan pointwise distances.
The library requires in input a bidimensional array of the ndarray rust library.
Examples
use curve_similarities::{frechet, DistMetric};
use ndarray::array;
fn main() {
let fr = frechet(
&array![[1.0], [1.0], [3.0]],
&array![[2.0], [4.0]],
DistMetric::Euclidean
);
println!("Frechet distance between curves is {}", fr);
}
Dependencies
Currently still using ndarray
version 0.15.0
in order to use ndarray-stats
for pointwise distance.
[dependencies]
approx = "0.3.2"
ndarray = "0.15.0"
ndarray-stats = "0.5.1"
num = "0.4.3"
Dependencies
~3.5MB
~64K SLoC