An implementation of the soft-k-means algorithm in Matlab
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Updated
Apr 23, 2018 - MATLAB
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soft-k-means
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implementation of basic ML algorithms
numpy svm scratch kmeans adaboost decision-trees knn linear-models gradient-boosting soft-k-means bagging-ensemble sgdclassifier
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Nov 4, 2022 - Jupyter Notebook
A Laplace library of clustering and mixture-model building blocks for Stan — soft k-means, Gaussian mixtures from spherical to full covariance, Poisson and negative-binomial mixtures, latent class analysis, Naive Bayes / LDA document clustering, mixtures of regressions
clustering naive-bayes mixture-model bayesian-statistics soft-k-means gaussian-mixtures laplace-library negative-binomial-mixtures lda-clustering
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Updated
Sep 22, 2026
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