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framework. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), Gaussian Classifiers, and Restricted Boltzmann Machines. WWW: http://mdp-toolkit.sourceforge.net/ PR: ports/127338 Submitted by: Li-Lun Wang <llwang at infor.org>
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436 B
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8 lines
436 B
Text
Modular toolkit for Data Processing (MDP) is a Python data processing
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framework. Implemented algorithms include: Principal Component
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Analysis (PCA), Independent Component Analysis (ICA), Slow Feature
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Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural
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Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), Gaussian
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Classifiers, and Restricted Boltzmann Machines.
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WWW: http://mdp-toolkit.sourceforge.net/
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