Adaptive Gaussian Filtering Icon

Adaptive Gaussian Filtering

beta

Machine learning with Gaussian kernels.

Add a Review
5 Downloads (This Week)
Last Update:
Download libagf-0.9.8.tgz
Browse All Files

Screenshots

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++.

Adaptive Gaussian Filtering Web Site

KEEP ME UPDATED

Other Useful Business Software

Secure Clouds are Happy Clouds Icon

Go wherever your business needs to go. Secure your data, apps and users in all private cloud, public cloud and SaaS environments.

Secure Clouds are Happy Clouds Icon
Different cloud providers have different security capabilities. Wherever your data is, find out how to implement a consistent security posture across all of your environments.
Secure Clouds are Happy Clouds
Are you from an organization of 500+ employees?
Write a Review

User Reviews

Be the first to post a review of Adaptive Gaussian Filtering!

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

Thanks for helping keep SourceForge clean.

Screenshot instructions:
Windows
Mac
Red Hat Linux   Ubuntu

Click URL instructions:
Right-click on ad, choose "Copy Link", then paste here →
(This may not be possible with some types of ads)

More information about our ad policies
X

Briefly describe the problem (required):

Upload screenshot of ad (required):
Select a file, or drag & drop file here.

Please provide the ad click URL, if possible:

Get latest updates about Open Source Projects, Conferences and News.

Sign up for the SourceForge newsletter:

JavaScript is required for this form.

No, thanks