rust-ml-algo

This is collection of Machine Learning (ML) algorithms implemented in Rust Language.

The goal of this work:

1. Understand deeply some ML algorithms
2. Practice in Rust

For today here are:

1. Clusterization:

   1. Agglomerative clusterization
   2. DBSCAN
   3. EM (Gaussian Mixture)
   4. K-Means
   5. Mean Shift

2. Classification

   1. Decision tree
   2. Random forest
   3. Naive Bayes

3. Regression

   1. Decision tree
   2. Random forest
   3. LinearRegression

Here is also rust-ml-algo-cases where benchmark tests based on real or well known datasets are written.