demo_unsupervised_clustering

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');