Gaussian Mixture Error Estimation for Approximate Circuits

Unsupervised clustering with Gaussian mixture models (GMMs) (MATLAB).

This is where I play and learn about machine learning applications.

The project is to design a method for distinguishing tablet components in micro-CT images using image segmentation.

Implementation of Mixture of Gaussians and K-NN

Clustering using the Mixture of Gaussians model on Peterson and Barney’s dataset of vowel formant frequencies.

Algorithms for tensor decomposition in GMM, LDA topic models etc.

Regression by using Probability Density Functions estimated with Gaussian mixture models.

MATH-512 Optimization on Manifolds Spring 2023 Project 1: Gaussian Mixture Models

Implementation of a text-independent Speaker Identification (SI) system based on Gaussian Mixture Models (GMMs).

Approximation of mixing different gaussian distribution with Self-organizing Map(SoM) and Radial Basis Function(RBF)

Qualitative and quantitative evaluation of the performance of clustering algorithms in HSI clustering

Gaussian mixture model for clustering

This repository stores my personal projects related to data science studies.

A system to detect whether a motorcyclist wearing a helmet or not. YOLO object detection network, Gaussian Mixture Model and Matlab Programming Languages are used.

implementation of expectation maximization algorithm for gaussian mixture models and comparing it with non-parametric histogram estimation

A vehicle detection method that provides relevant information about traffic patterns, crash occurrences and traffic peak times in roadways. Built using MATLAB R2017a.