gmm

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sungyubkim / if_classic

A brief notebook on Influence Function (IF) for classical generative models (e.g., k-NN, KDE, GMM)

kde numpy gaussian-mixture-models gmm k-nearest-neighbours kernel-density-estimation interpretability k-nearest-neighbors influence-functions interpretable-machine-learning k-nearest-neighbors-k-nn self-influence-functions instance-based-interpretability

Updated Feb 6, 2023
Jupyter Notebook

tate8 / unsupervised-learning

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A notebook using many unsupervised learning techniques. PCA, K-means, Gaussian Mixtures. Clustering, dimensionality reduction, anomaly detection

machine-learning clustering pca dimensionality-reduction kmeans unsupervised-learning gmm anomaly-detection

Updated Jan 9, 2022
Jupyter Notebook

yousef-788 / NTI_ML_Tasks

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A collection of machine learning tasks and mini-projects using Python and Jupyter Notebooks. Includes classification, clustering, dimensionality reduction, and more

python machine-learning clustering svm jupyter-notebook regression pca classification data-preprocessing gmm

Updated Jul 26, 2025
Jupyter Notebook

alessioborgi / Clustering-Deepening

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An in-depth exploration of clustering algorithms and techniques in machine learning, with applications focus on Object Tracking and Image Segmentation.

python notebook clustering kmeans gmm jupiter dbscan k-medians k-medoids mean-shift rand-index kmeanspp db-index

Updated Apr 3, 2025
Jupyter Notebook

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