K-means - Unsupervised Machine Learning

On the Association of Small Cell Base Stations

simulation of the paper "On the Association of Small Cell Base Stations with UAVs using Unsupervised Learning"

In this simulation, we attempted to replicate Figure 2 and Figure 3. We also conducted additional simulations to further explore the topic.

Reference paper: https://ieeexplore.ieee.org/abstract/document/8746456

materni.m implements both the Matérn I pattern generation and the k-means clustering algorithm.

Proposed algorithm in paper

The k-means algorithm is a popular unsupervised machine learning algorithm used for clustering data into distinct groups. Here is a summary of the k-means algorithm:

Generation of PPP and Matérn I:

k-means:

Figure 2:

Figure 3:

More simulation: