Libagf is a machine learning library that includes adaptive kernel density estimators using Gaussian kernels and k-nearest neighbours. Operations include statistical classification, interpolation/non-linear regression and pdf estimation. In particular, for statistical classification there is a powerful borders training feature for creating fast, pre-trained, but nonetheless non-parametric models. Libagf also includes clustering algorithms as well as comparison and validation routines. It is written in C++.
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