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Descripción del Proyecto

libagf is a library of variable-bandwidth kernel estimators for statistical classification, PDF estimation, and interpolation/non-linear regression using both Gaussian kernels and k-nearest-neighbours. Statistical classification allows the use of a pre-trained model for considerable speed gains. Also included are clustering algorithms. It includes command line executables as well as easy-to-use libraries.

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2012-12-13 07:49 Back to release list
0.9.5

Esta versión tiene un nuevo comando para generar la función de la característica de operación relativa (ROC). También hay un script de shell para validar las estimaciones de la función de densidad de probabilidad. Muchos errores han sido encontrados y corregido.
This release has a new command for generating the Relative Operation Characteristic (ROC) function. There is also a shell script for validating probability density function estimates. Many bugs have been found and corrected.

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