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.

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 ...

DBSCAN, K Means, Gaussian Mixture model clustering for geographic segment identification at varying population density levels. Retrieve usa_pd_2020_1km.csv from https ...

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...

Abstract: Aiming at the existing high-speed railway station security check passenger flow prediction research mostly for the prediction under normal conditions, without considering the change trend of ...