This repository contains functions/codes related to different methods of machine learning for classification and clustering in python.
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Updated
Jun 4, 2024 - Jupyter Notebook
This repository contains functions/codes related to different methods of machine learning for classification and clustering in python.
Implementation of inter-frame difference algorithm
Infinite Mixtures of Infinite Factor Analysers
Data Science Project (Autonomous Driving Dataset Analysis)
Performing basic clustering on a seeds dataset.
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Models via Fully Homomorphic Encryption
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Models via Fully Homomorphic Encryption
A Cython Machine Learning library dedicated to Hidden Markov Models
Synthetic Data Generation (SDG) by Gaussian Mixture Model (GMM) Distribution
Burger king menu items clustered with Gaussian Mixture model
Code and data for "Superclass-class conditional Gaussian mixture model for learning fine-grained embeddings" @ ICLR2022
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.
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.
A machine learning clustering model for customer segmentation to define marketing strategy.
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.
The R code sets for "Inverse Gaussian quadrature and finite normal-mixture approximation of the generalized hyperbolic distribution"
Library and hand-made clustering algorithms are implemented in this project
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