PRTools

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PRTools

• Matlab Pattern Recognition Toolbox for representation and generalization

Highlights

• More than 250 dedicated pattern recognition routines
• About 400 support routines
• representation, feature extraction and selection
• pre-processing of raw data files included in the toolbox
• integrated handling of data in files and data in RAM
• linear and non-linear transformations
• crisp, soft and target labels
• multi-labeling system
• more than 25 different classifiers
• large set of combining classifiers
• crossvalidation, learning curves, feature curves, EOC
• runs (with some restrictions) under Octave
  

Typical Usage

• prototyping of recognition systems including preprocessing
• the analysis of new data by standard tools
• comparative studies for evaluating new, advanced tools.
• student courses

Information

• User guide by 37Steps
• short overview of the toolbox
• documentation
• download
• license information

Books

• The toolbox is used for the book. “Classification, parameter estimation and state estimation – an engineering approach using Matlab” (2004) by Ferdi van der Heijden, Robert P.W. Duin, Dick de Ridder and David M.J. Tax. More on the book
• See also the eBook  Pattern Recognition: Introduction and Terminology, by R.P.W. Duin and E. Pekalska, 2015.