Statistical Pattern Recognition Group

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This page contains links to  software authored by the CASTLE members.

Each entry has a title, a summary, a list of authors, a date of publication or when it was last updated, a distribution designation, and links to the material in various formats

Data Preprocessing

Dprep

A library of R functions to perform data preprocessing including missing values, outlier detection, visualization, normalization and feature selection.

By:  E. Acuna and Caroline Rodriguez.
Date:         July, 2004
Distribution: External
Formats:      .zip (224 k)
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Combining  Classifiers

Combining kernel density classifiers

An S-plus program  to perform supervised classification using kernel density estimation and to carry out Bagging and Boosting on  KDE classifiers. 

By:           A. Rojas and E. Acuna,
Date:         March, 2002
Distribution: Internal, Published
Formats:      .zip (1,480 k)

Combining Gaussian Mixtures

A library of R functions to perform supervised classification using  Gaussian mixtures  and to carry out Bagging and Boosting on  GM classifiers. 

By:           L. Daza
Last updated: May, 2002
Distribution: Internal, Published
Formats:      .zip
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Parallel computation for pattern recognition

Parallel computation of kernel density classifiers and their ensembles

A C  program  for  parallel computation of   kernel density estimation classifiers and their ensembles through  Bagging and Boosting. The MPI library is required 

By:           E. Lozano
Date:         March, 2003
Distribution: Internal
Formats:      .tar (628 k)
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Feature selection

Wrappers for kernel density estimation classifiers

S- Plus programs to perform feature selection with KDE classifiers using Sequential backward selection  (SBS), Sequential Forward Selection (SFS) and Sequential Floating Forward selection (SFFS). 

By:           A. Rojas and E. Acuna.
Date:         March, 2002
Distribution: External
Formats:      .tar (725 k)

Wrappers for Gaussian mixtures  classifiers

A library of R functions to perform feature selection with GM classifiers using Sequential backward selection  (SBS) and  Sequential Forward Selection (SFS). 

By:           L. Daza.
Date:         June, 2002
Distribution: External
Formats:      .zip (725 k)
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Internal
May only be viewed by the members of CASTLE.
External
May be viewed by people outside the CASTLE group.
Published
Has already appeared in an external publication.
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Document Format Definitions

.zip    archive file for Windows
.tar    archive file for UNIX
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Last updated: January 13, 2006.