This is the Linux app named Adaptive Gaussian Filtering to run in Linux online whose latest release can be downloaded as libagf-0.9.8.tgz. It can be run online in the free hosting provider OnWorks for workstations.
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Adaptive Gaussian Filtering to run in Linux online
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++.Audience
Advanced End Users, Developers, Information Technology, Non-Profit Organizations, Science/Research
User interface
Command-line, Other toolkit
Programming Language
C++
Database Environment
Flat-file, Proprietary file format
This is an application that can also be fetched from https://sourceforge.net/projects/libagf/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
