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About Adaptive Gaussian Filtering

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...

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++.



Previous Versions

Here you can find the changelog of Adaptive Gaussian Filtering since it was posted on our website on 2015-04-24 03:00:00. The latest version is and it was updated on 2024-03-29 15:02:02. See below the changes in each version.

Adaptive Gaussian Filtering version
Updated At: 2014-12-06
Adaptive Gaussian Filtering version libagf
Updated At: 2011-05-02
Changes: Several fixes and updates


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Users Rating:  
  4.0/5     1
Downloads: 53
Updated At: 2024-03-29 15:02:02
Publisher: peteysoft
Operating System: Mac,windows,linux
License Type: Free