Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering
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Jun 19, 2024 - R
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gmm
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Formal methods to study Prehistory iconography
graph-theory network-analysis gmm archaeology iconography shape-analysis rpackage rproject prehistoric-archaeology
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Nov 5, 2023 - R
The code for fitting a mixture distribution to data and Gaussian Mixture Model (GMM)
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Oct 17, 2020 - R
Making Recommendations from Show Rating Data Using PCA & Clustering
data-science machine-learning r analytics clustering machine-learning-algorithms pca k-means rmd gmm k-means-clustering
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Feb 11, 2019 - R
This project performs data exploration, segmentation, and modeling of wholesale customer data using clustering algorithms, PCA, and decision trees to analyze purchasing behavior and predict customer channel preferences.
machine-learning clustering data-visualization pca data-analysis kmeans gmm decision-tree dbscan customer-segmentation
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Nov 29, 2024 - R
The multi-sample Gaussian mixture model (MSGMM) is a clustering model adapted to fitting multiple samples simultaneously using the EM algorithm.
clustering expectation-maximization gaussian-mixture-models unsupervised-learning gmm mixture-model flow-cytometry mass-cytometry cytometry unsupervised-clustering single-cell-analysis
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Jun 17, 2025 - R
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