Clustering algorithms.

This crate provides generic implementations of clustering algorithms, allowing them to work with any back-end "point database" that implements the required operations, e.g. one might be happy with using the naive collection BruteScan from this crate, or go all out and implement a specialised R*-tree for optimised performance.

Density-based clustering algorithms:

• DBSCAN (Dbscan)
• OPTICS (Optics)

Others:

• k-means (Kmeans)

Source.

Installation

Add the following to your Cargo.toml file:

[dependencies]
cogset = "0.1"

cogset

Generic implementations of clustering algorithms.

Documentation, crates.io.