model-based-clustering

There are 18 repositories under model-based-clustering topic.

  • caravagnalab/mobster

    Model-based subclonal deconvolution from bulk sequencing.

    Language:HTML328258

  • anjalisilva/MPLNClust

    R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model

    Language:R16204

  • mainkoon81/Study-09-MachineLearning-E

    **Unsupervised-Learning**(with practice of PCA, ICA and Model-based Clustering)

    Language:Jupyter Notebook10127

  • anjalisilva/mixMVPLN

    R Package to Perform Clustering of Three-way Count Data Using Mixtures of Matrix Variate Poisson-log Normal Model With Parameter Estimation via MCMC-EM, Variational Gaussian Approximations, or a Hybrid Approach Combining Both.

    Language:R8100

  • poudeldinesh/Multivariate-Analysis-World-Happiness-Report

    Unsupervised Learning

    Language:R8200

  • Keefe-Murphy/IMIFA

    Infinite Mixtures of Infinite Factor Analysers

    Language:R7411

  • Keefe-Murphy/MoEClust

    Gaussian Parsimonious Clustering Models with Gating and Expert Network Covariates

    Language:R7210

  • Keefe-Murphy/MEDseq

    Mixtures of Exponential-Distance Models for Clustering Longitudinal Life-Course Sequences with Gating Covariates and Sampling Weights

    Language:R5300

  • GanzhongTian/CensGMR

    This project is an extension of the Gaussian Mixture Regression (GMR) model to handel censored multivariate responses.

    Language:Jupyter Notebook3201

  • gferrsilva/RioSalitre

    This code is part of the "Comparison of K-Means and Model-Based Clustering methods for drill core pseudo-log generation based on X-Ray Fluorescence Data" written by researchers of the Directory of Geology and Mineral Resources from the Geological Survey of Brazil – CPRM.

    Language:R2200

  • ozturkfemre/Unsupervised_Learning

    R & Python | Unsupervised Learning Project

    Language:Jupyter Notebook1101

  • adeschen/CNprep

    Processing DNA Copy Number (CN) Data for Detection of CN Events

    Language:R0100

  • AlessandroMirone/Bayesian_MBC

    Bayesian Specification of model-based clustering

    0100

  • eThesis/Simulation

    Implementation of mixture model, parameters estimated by EM algorithm. ~/Goto/Project/Page/👇

    Language:Python0100

  • pstat197/vignette-clustering-methods

    Hierarchical, model-based, and density-based clustering in R and application to unsupervised country classification

    Language:HTML0000

  • remydeshayes/bayesian_clustering

    A Predictive View of Bayesian Clustering

    Language:R0100

  • KAR-NG/Credit-Card-Market-Segmentation

    VEV model from Mclust among 5 clustering algorithms has optimal performance and detected 8 distinct groups of users. Data was cleaned, standardized and feature-selected, PCA’s biplot, Ggplot, Radar plots, and parallel coordinate plots were applied for EDA.

    Language:R10

  • suren-rathnayake/EMMIX

    EMMIX fits the data into the specified multivariate mixture models via the EM Algorithm.

    Language:R20