gmm-clustering

iacopomasi/AI-ML-Unit-2

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

HongJea-Park/robust_EM_for_gmm

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

beginaid/GMM-EM-VB

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

kailugaji/Gaussian_Mixture_Model_for_Clustering

Gaussian Mixture Model for Clustering

AISoltani/Gaussian_Mixture_Model-

ModelGaussian_Mixture_Model

KalinNonchev/mclustpy

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.

AISoltani/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.

gulabpatel/Machine-Learning

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

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"

shbz80/model_learning

Code for the paper Data-efficient model learning and prediction for contact-rich manipulation tasks, RA-L, 2020

Dragon1573/Parallel-GMM

2019～2020学年第2学期《并行程序设计》课程设计

alaradirik/robot-learning

RL and DMP algorithms implemented from scratch with plain Numpy.

DolbyUUU/clustering_algorithm_implementation_python

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

upadhyatejas/Analysis-and-Predications-of-Higher-Education-in-India

A recommender system based on data provided by MHRD on colleges and universities in India. Website-

praveengadiyaram369/Activityrecognition_GaussianLDA

Gaussian Latent Dirichlet Allocation

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

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

aciobanusebi/deep-clustering

faahrin/UKESM1_Ozone_clustering

Ozone profile clustering code for UKESM1

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.

reutregev/gmm-em

A Python implementation of Gaussian Mixture Model (GMM)

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

abisliouk/IE675b-machine-learning

This is a repository with the assignments of IE675b Machine Learning course at University of Mannheim.

aiaaee/Unfolding-the-Swiss-Roll-Dataset

Unfolding the Swiss Roll Dataset explores different approaches to analyzing and visualizing the famous Swiss Roll dataset

anishdulal/clustering

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

bansal-yash/COL333-Artificial-Intelligence

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

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.

kiki101robo/Bearing_Health

This project utilizes signal processing and machine learning techniques to analyze vibration data for detecting mechanical faults in rotating machinery. It includes the application of Fast Fourier Transform (FFT) for frequency analysis, feature extraction in both time and frequency domains, and classification using Support Vector Machines (SVM).

Luciano-Parodi/IoT_Aprendizaje_Automatico_Tesis

Gestión de Protocolos de Internet para Aprendizaje Profundo de Datos en Dispositivos IoT Aplicados a Parámetros Ambientales

MadhukarSaiBabu/ML-for-Workforce-Analytics-Sales-Forecasting-Segmentation-Sentiment-Analysis

Implemented machine learning across HR, Sales, Marketing, and PR to improve decision-making. Used models like XGBoost, Prophet, LSTM, clustering, and NLP to enhance retention, forecasting, segmentation, and sentiment analysis for business growth.

maxgubitosi/ML-Clustering-Dimensionality-Reduction-and-EM

Fourth practical assignment for the course "I302 - ML and Deep Learning". The work consists of three problems involving clustering, dimensionality reduction and EM Algorithm.

NishadKhudabux/Fantasy-Sports-Clustering-Analysis

Performed clustering analysis on OnSports player data for the English Premier League. The clustering analysis successfully identified 4 unique player clusters and uncovered valuable business recommendations by identifying trends and patterns in the EDA, meeting the objective of determining player pricing next season.

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.

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.

Whitelisted2/EE413-PRML-Lab

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

wondmgezahu/ML-projects