GitHub topics: gmm-clustering

Repositories

iacopomasi/AI-ML-Unit-2

Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza

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crimslack/gmm_anomaly_detection

Production fault segmentation using Gaussian Mixture Models and unsupervised anomaly detection.

Language: Python - Size: 342 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

Model-based clustering based on parameterized finite Gaussian mixture models. Models are estimated by EM algorithm initialized by hierarchical model-based agglomerative clustering. The optimal model is then selected according to BIC.

Language: Python - Size: 36.1 KB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 9 - Forks: 1

ranimeshehata/Face-Recognition

This project implements a face recognition pipeline using the AT&T Face Dataset (ORL Dataset). It includes dimensionality reduction techniques like PCA, clustering algorithms such as K-Means and GMM, and an optional Autoencoder-based feature extraction.

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mayankmittal29/TensorTinker_Statistical_Methods_in_AI

This repository contains implementations of various machine learning algorithms from scratch, including Multi-Layer Perceptron (MLP), Gaussian Mixture Models (GMM), Principal Component Analysis (PCA), Autoencoders, and Variational Autoencoders.

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GiatrasKon/Gastric-Cancer-scRNAseq-Analysis

Recreation and enrichment of the gastric (GC) cancer single-cell RNA-seq (scRNA-seq) data analysis pipeline described in the "Comprehensive analysis of metastatic gastric cancer tumour cells using single‑cell RNA‑seq" by Wang B. et. al, using the raw counts matrix they provide.

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aliciagilmatute/Machine-Learning--unsupervised-

Proyectos de Aprendizaje Automático No Supervisado

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HongJea-Park/robust_EM_for_gmm

MS Yang, A robust EM clustering algorithm for Gaussian mixture models, Pattern Recognit., 45 (2012), pp. 3950-3961

Language: Python - Size: 10.6 MB - Last synced at: 29 days ago - Pushed at: almost 4 years ago - Stars: 22 - Forks: 4

ShrinivasaPH/ML-Clustering-Countries

This project clusters countries based on socio-economic factors using Gaussian Mixture Model (GMM). Input data like child mortality, income, etc., and get a prediction of whether a country is Poor Developing or Rich. The results are visualized on an interactive world map, allowing you to explore global clustering patterns.

Language: Python - Size: 3.31 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

SagharShafaati/PD-Detection-Transformer-GMM

This repository contains the Python implementation for the article "Integrating Transformers and Gaussian Mixture Models for Parkinson's Detection." The code combines GMM, Transformers, and SHAP analysis for accurate and interpretable voice-based diagnosis.

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DolbyUUU/clustering_algorithm_implementation_python

Clustering algorithm implementaions from scratch with python (k-means, EM-GMM, mean-shift, agglomerative)

Language: Python - Size: 1.14 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

bansal-yash/COL333-Artificial-Intelligence

Course assignments of COL333 :- Artificial Intelligence course at IIT Delhi under Professor Rohan Paul

Language: Python - Size: 55.8 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

SirineMaaroufi/ML_Clustering_Explorations

This repository contains a series of notebooks exploring various clustering techniques in machine learning.

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chris-santiago/gmm

Gaussian Mixture Model with low rank approximation

Language: Python - Size: 12.7 KB - Last synced at: 2 days ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

gulabpatel/Machine-Learning

Regression, Classification, Clustering, Dimension-reduction, Anomaly detection

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catherman/Image-Analysis-with-Gaussian-Mixture-Model

Image analysis with Gaussian Mixture Model (GMM), with Principal Component Analysis (PCA) for dimensionality reduction of images prior to expectation-maximization (EM) algorithm implementation.

Language: Python - Size: 1.43 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

KyriakosPsa/single-cell-ML-pipeline

single-cell RNA seq Gaussian Mixture Model analysis pipeline. Accepts as input a single cell dataset (rows:cells x columns:gene expression) and provides their trajectories based on fitted Gaussian Mixture Models.

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Manaswi-Vichare/GMM-Clustering

Implementing PCA on MNIST and then performing GMM clustering. PCA is performed from scratch and done for 32, 64, and 128 components. Clustering performed in 10, 7, and 4 clusters.

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siddikayyappa/MNIST-classification

The Following repository contains the code for the MNIST classification tasks, with the help of various machine learning techiniques, like DNN, CNN, K-means, GMM

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RobinU434/TaskParameterizedGaussianMixtureModels

Implementation of Task-Parameterized-Gaussian-Mixture-Models as presented from S. Calinon in his paper: "A Tutorial on Task-Parameterized Movement Learning and Retrieval"

Language: Python - Size: 6.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

phoebeyueh/207_customer_segmentation

207 Machine Learning Project using various clustering models

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tianrui-qi/QuadraticNeurons

Code and data associated with the paper "Superiority of quadratic over conventional neural networks for classification of Gaussian mixture data".

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El-Bahnasawi/Walmart-Dataset-Analysis

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haniye6776/clustering-countries

clustering with optimal number of clusters

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wondmgezahu/ML-projects

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MrTejas/ML-Algos

A collection of fundamental Machine Learning Algorithms Implemented from scratch along-with their applications for various ML tasks like clustering, thresholding, data analysis, prediction, regression and image classification.

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Alex-Mak-MCW/Clustering-Algorithms-Analysis-Project

Personal research project on examining different types of clustering algorithms, as well as investigate their impact when they are used in classification problem (cluster-based feature engineering)

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AISoltani/Clustering-in-Python Fork of sandipanpaul21/Clustering-in-Python

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

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AISoltani/Gaussian_Mixture_Model-

ModelGaussian_Mixture_Model

Language: Python - Size: 198 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

beginaid/GMM-EM-VB

This repository is for sharing the scripts of EM algorithm and variational bayes.

Language: Python - Size: 116 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 1

madisongarccia/CS180-Python

Using Python for Data Science

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hrootscraft/audio-classification

Statistical Model (GMM) employed for Audio Classification

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anishdulal/clustering

I have performed district clustering using 3 clustering algorithms(k-means, dbscan and gmm).

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Taabannn/intro-ml

This repository has been created just for warm-up in machine learning and there are my simulation files of UT-ML course HWs.

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Taabannn/fake-and-real-images-detection

This repository contains last project of UT-ML course files(feature extraction, classification, clustering)...

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venkatesh-eranti/clustering_milestone-project-Wholesale-customers

The wholesale distributor is considering changing its delivery service from currently 5 days a week to 3 days a week. However, the distributor will only make this change in delivery service for customers that react positively. How can the wholesale distributor use the customer segments to determine which customers, if any, would reach positively to the change in delivery service?

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MathCortes/Projeto6-CustomersAnalysis-ML_Clustering

A base de dados que será utilizada é voltada para estudos de perfil dos consumidores, como análises de marketing. Estão disponibilizadas informações básicas dos consumidores, tais como gênero, idade e outros dados financeiros.

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Prashant812/Clustering

Analyzing different clustering methods and finding the most suitable one

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praveengadiyaram369/Activityrecognition_GaussianLDA

Gaussian Latent Dirichlet Allocation

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tans-hul/Anomly-Detection

This repository hosts an advanced anomaly detection system designed to identify unusual patterns or outliers in diverse datasets. It offers robust algorithms such as K-means clustering, efficient dimensionality reduction techniques like PCA, and various encoding methods for improved data interpretability.

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anubhavparas/color-segmentation-using-gaussain-mixture-models

Underwater Buoy detection using Gaussian Mixture Models (GMM) and Expectation-Maximization (EM) Algorithm

Language: Python - Size: 56.5 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Dragon1573/Parallel-GMM 📦

2019～2020学年第2学期《并行程序设计》课程设计

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kailugaji/Gaussian_Mixture_Model_for_Clustering

Gaussian Mixture Model for Clustering

Language: MATLAB - Size: 228 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 4

mr-easy/GMM-EM-Python

Python implementation of EM algorithm for GMM. And visualization for 2D case.

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sumeyye-agac/expectation-maximization-for-gaussian-mixture-model-from-scratch

Expectation-Maximization (EM) algorithm for Gaussian mixture model (GMM) from scratch

Language: Python - Size: 167 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

iqrabismii/UnsupervisedLearning

Projects using Unsupervised Learning Techniques

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sanaamironov/CMSC478-MachineLearning

This course covers fundamental concepts, methodologies, and algorithms related to machine learning taught by Fereydoon Vafaei

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daiki-ko/GMM-WBIC_with_PyMC

PyMC source program to determine the number of clusters in multi-dimensional data by WBIC.

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Ishmeet7/Data-Science-coursework

This repository contains assignments of Data science 3(IC272) course .

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ShashwatNigam99/Artwork-Classification-Using-ML

Machine Learning Project for Course CS7641

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Whitelisted2/EE413-PRML-Lab

This repository contains files related to Pattern Recognition and Machine Learning Lab (Autumn 2022).

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reutregev/gmm-em

A Python implementation of Gaussian Mixture Model (GMM)

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faahrin/UKESM1_Ozone_clustering

Ozone profile clustering code for UKESM1

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alaradirik/robot-learning

RL and DMP algorithms implemented from scratch with plain Numpy.

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geekquad/Customer-Segments

Analyzing a dataset containing data on various customers' annual spending amounts of diverse product categories for internal structure. Doing so would equip the distributor with insight into how to best structure their delivery service to meet the needs of each customer.

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showman-sharma/speech_writing-recognition

We are given 2 different problems to solve. 1. Isolated spoken digit recognition 2. Telugu Handwritten character recognition Both these datasets were given as a time series. 2 different methods were used to solve each of the problem: 1. Dynamic Time Warping 2. Hidden Markov Models

Language: Python - Size: 682 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0