505 Open source projects that are alternatives of or similar to SpatPCA

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machine learning algorithms in Swift

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Easy Handling Discrete Time Markov Chains

R-package for actuarial pricing

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R package to install system requirements

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Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

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Interface to the Bold Systems barcode webservice

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