## Contents

- Description of demo_unsupervised_clustering.m
- Density-Based Clustering
- K-Means Clustering

## Description of demo_unsupervised_clustering.m

Demonstrates two clustering methods: K-means and Density-Based clustering using the DBSCAN algorithm

    clear all
    close all
    f=1; % figure index
    generateData_clustering

## Density-Based Clustering

    options.eps = 2;
    options.minPts = 2;
    figure(f);f=f+1;
    model = ml_unsupervised_DBcluster(Xtrain,options);
    title('Density-Based clustering');

## K-Means Clustering

    options.K = 5;
    options.kpp = 1; % Use K-means++ initialization
    figure(f);f=f+1;
    model = ml_unsupervised_clusterKmeans(Xtrain,options);
    title('K-means Clustering with K-means++ Initialization');