PRTools
- Matlab Pattern Recognition Toolbox for representation and generalization
Highlights
- More than 300 dedicated pattern recognition routines
- About 500 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 30 different classifiers
- large set of combining classifiers
- crossvalidation, learning curves, feature curves, EOC
- integration of various Mathworks routines for statistics and machine learning
- 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
- toolbox introduction
- toolbox overview
- user guide
- documentation
- software
- license information
- design team
- contact
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.