Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

Abstract: This paper synthesises the in-depth study and extensive practical application of the principles of probabilistic statistics and the Gaussian mixture clustering (GMM) algorithm with the aim ...

This repository contains the implementation of a Gaussian Mixture Model (GMM)-based framework for analyzing and predicting vehicle lane-change behaviors using real-world traffic trajectory data. The ...

Abstract: In this paper, an unsupervised SAR image segmentation algorithm (QEAGMM) based on quantum-inspired evolutionary Gaussian Mixture Models (GMM) is proposed. The method first divides the ...

Affymetrix's SNP (single-nucleotide polymorphism) genotyping chips have increased the scope and decreased the cost of gene-mapping studies. Because each SNP is queried by multiple DNA probes, the ...

You are invited to attend the following M.A.Sc. (Quality Systems Engineering) thesis examination. We have designed and implemented a finite mixture model, using the scaled Dirichlet distribution for ...