adaptive gaussian filtering to run in windows online over linux online

We have hosted the application adaptive gaussian filtering to run in windows online over linux online in order to run this application in our online workstations with Wine or directly.

Quick description about adaptive gaussian filtering to run in windows online over linux online:

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.
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