A collection of clustering algorithms. Currently this crate provides DBSCAN and OPTICS.
The following example shows how to cluster points using DBSCAN.
```rust use ndarray::array; use petal_clustering::{Dbscan, Fit};
let points = array![[1.0, 2.0], [2.0, 2.0], [2.0, 2.3], [8.0, 7.0], [8.0, 8.0], [25.0, 80.0]]; let clustering = Dbscan::new(3.0, 2).fit(&points);
asserteq!(clustering.0.len(), 2); // two clusters found asserteq!(clustering.0[&0], [0, 1, 2]); // the first three points in Cluster 0 asserteq!(clustering.0[&1], [3, 4]); // [8.0, 7.0] and [8.0, 8.0] in Cluster 1 asserteq!(clustering.1, [5]); // [25.0, 80.0] doesn't belong to any cluster ```
This crate is guaranteed to compile on Rust 1.53 and later.
Copyright 2019-2022 Petabi, Inc.
Licensed under Apache License, Version 2.0 (the "License"); you may not use this crate except in compliance with the License.
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