Data Science Project (Autonomous Driving Dataset Analysis)
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Updated
Dec 6, 2023 - Jupyter Notebook
Data Science Project (Autonomous Driving Dataset Analysis)
Unsupervised Learning: Mixture of Balls With Different Volumes.
Differential Evolution Clustering
Coordinate ascent mean-field variational inference (CAVI) using the evidence lower bound (ELBO) to iteratively perform the optimal variational factor distribution parameter updates for clustering.
Speaker Recognition based on GMM
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Models via Fully Homomorphic Encryption
Implementation of inter-frame difference algorithm
Machine Learning Engineer Nanodegree, Unsupervised Learning, Creating Customer Segments
Synthetic Data Generation (SDG) by Gaussian Mixture Model (GMM) Distribution
Performing basic clustering on a seeds dataset.
Implementation of EM algorithm for the Gaussian mixture model.
This repository contains functions/codes related to different methods of machine learning for classification and clustering in python.
Fast explication of Gaussian Mixture model for clustering
Burger king menu items clustered with Gaussian Mixture model
Codes for simulation studies to examine the performance of the EM algorithm and its modifications Classification EM and Stochastic EM for Gaussian mixture and a mixture of Markov chains.
A Cython Machine Learning library dedicated to Hidden Markov Models
Algorithms proposed in the following paper: G. Oliveira, L. L. Minku and A. L. I. Oliveira, "Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model Approach," in IEEE Transactions on Knowledge and Data Engineering, 2021. doi: 10.1109/TKDE.2021.3099690.
Detecting stock market phases using a Gaussian mixture model.
Infinite Mixtures of Infinite Factor Analysers
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