Dendritic Clustering Crate

This crate allows for clustering of data for unsupervised tasks. The bayes crate currently supports K means clustering. Code for the Hierarchical clustering module is there but does not work at the moment

Features

• K Means: Standard K means clustering

Disclaimer

The dendritic project is a toy machine learning library built for learning and research purposes. It is not advised by the maintainer to use this library as a production ready machine learning library. This is a project that is still very much a work in progress.

Example Usage

This is an example of using the K means clustering module

use dendritic_ndarray::ndarray::NDArray;
use dendritic_ndarray::ops::*;
use dendritic_clustering::k_means::*;
use dendritic_knn::distance::*;
use dendritic_datasets::iris::*; 

fn main() {

    // Load datasets from saved ndarray
    let data_path = "../dendritic-datasets/data/iris.parquet";
    let (x_train, y_train) = load_iris(data_path).unwrap();

    // Iterations and K value for K means cluster
    let iterations = 5;
    let k_value = 3; 

    // Create instance of K means model
    let mut clf = KMeans::new(
        &x_train, 
        k_value, 
        iterations, 
        euclidean
    ).unwrap();

    // Get centroids
    let final_centroids = clf.fit();
    let centroids_unique = final_centroids.unique();
}