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Numerical Learning Library description
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An algorithm library to help you with your work.
Numerical Learning Library is a C++ library designed to provide a wide range of machine learning algorithms. It has a full integrated framework (preprocessing, feature extraction and transformation, validation). Here are some key features of "Numerical Learning Library":
· support vector machines, neural networks, nearest neighbours
· clustering(LSDBC, k-means, gaussian mixture model)
· genetic algorithm
· feature selection(genetic algorithms, G-flip)
· gabor features
· feature normalization
· image processing(region growing, labelize, morphology, filtering, interpolators)
· math library(vector, matrix, decompositions, linear algebra)
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