RKM - Rust k-means

A simple Rust implementation of the k-means clustering algorithm based on a C++ implementation, dkm.

This implementation is generic, and will accept any type that satisfies the trait requirements. At a minimum, numeric types including the integer and floating point types built into rust should be supported.

Known to compile against Rust stable 1.17.0.

TODOs

• CI
• More unit tests
• Documentation

Data

The iris.data file contains data obtained from the UCI Machine Learning Repository. The data contains the following columns: - sepal length (cm) - sepal width (cm) - petal length (cm) - petal width (cm) - class

This data is used as a small test/benchmark of the k-means algorithm.

Licensing

This code is licensed under the MIT license.