Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Wireless Sensor Network is one of the growing technologies for sensing and also performing for different tasks. These types of networks are beneficial in many fields, such as emergencies, health monitoring, environmental control, military, industries and these networks are prone to malicious users and physical attacks due to radio range of netwo…

An advanced version of K-Means using Particle swarm optimization for clustering of high dimensional data sets, which converges faster to the optimal solution.

This repository consists of files which include the thesis report and MATLAB programs for my BEng Final Year Individual Project.

This repository hosts the script that was utilized for report the results of the conference article: “Localization of blood vessels in in-vitro LSCI images with K-means”

This repository contains projects from Andrew NG's Machine Learning course at Coursera

Implement Kmeans Clustering Algorithm with generating figures and analysing performance using MATLAB.

Using discrete wavelet transform for feature extraction of CT medical images. We aim to identify outliers that may be caused by poor calibration of the machine or other outliers.

A tool to compress image by reducing the number of colors using K-Means Algorithm.

Assignments of the Course on Coursera

An Evolutionary Pentagon Support Vector Finder Method

Machine Learning from Stanford University (Andrew Ng) - Assignments and Lectures

Programming assignments for Machine Learning course taught by Prof. Andrew Ng of Stanford University

The focus of this coursework is to assess your understanding of unsupervised machine learning techniques. You are required to write MATLAB code to implement the Kmeans clustering algorithm. This is an extension of Lab 3 on Kmeans clustering.

Implementazione dell'algoritmo di clustering Time Series K-Means e dei test eseguiti su di esso per la mia tesi di laurea.

A MATLAB program that uses k-means clustering to find and classify user types as an extension of a shape recognition research study. Originally developed at Occidental College from October-December 2019.

An Automatic Toolbox for Cluster Validity Indexes (CVI)

Repository with solutions for the ML Octave tutorial exercises. Implemented during the 2017-18 academic year; UCM, "Aprendizaje Automático".

A computer vision application that retrieves the most similar video frames to selected image/object/character

A smart disease detection for leaves powered by Neural Networks and MATLAB image processing