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Adaptive Gaussian Filtering

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Machine learning with Gaussian kernels.

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Description

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. For statistical classification there is a borders training feature for creating fast and general pre-trained models that nonetheless return the conditional probabilities. Libagf also includes clustering algorithms as well as comparison and validation routines. It is written in C++.

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Additional Project Details

Intended Audience

Advanced End Users, Developers, Information Technology, Non-Profit Organizations, Science/Research

User Interface

Command-line, Other toolkit

Programming Language

C++

Registered

2007-10-18

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