PRTools: The Matlab Toolbox for Pattern Recognition.

PRTools

PRTools is the software package used in the book:

Classification, parameter estimation and state estimation - an engineering approach using Matlab

by Ferdi van der Heijden, Robert P.W. Duin, Dick de Ridder and David M.J. Tax, John Wiley & Sons, 424 pages, ISBN 0470090138, 2004.

The PRTools version used in the book is PRTools 4 (download ).  The recent version can be found here.

Code and data

The listings in the book can be downloaded as a ZIP archive, by following this link:

• listings.zip (28 Kb)

The data used in these listings can be downloaded as three separate ZIP archives:

• data.zip (102 Kb)
• license_plates.zip (3530 Kb)
• tofdata.zip (9583 Kb)

The latter two files are distributed separately due to their size. The license plates data is needed only to run Listing 6.3; the time-of-flight data only for Listing 9.8.

Installation of the listings and the accompanying data is simple. Unpack (using, for example, WinZIP) the archives in a single directory, for example C:\CPESE. Start up Matlab and type:

>> addpath('C:\CPESE');

replacing C:\CPESE by the directory name you chose.

You can add this path permanently by editing your startup.m script. On Windows, this is stored in a subdirectory work of the directory you installed Matlab in. On Unix, it is usually stored in $HOME/matlab.

Projects

Three different projects have been defined, covering most of the topics in the book.

• A supervised classification problem. The distinction between rings, nuts and bolts.
  • An extended explanation in PDF: proj_class1.pdf
  • Data required in this exercise: proj_class1.zip
• A clustering problem. The segmentation of images.
  • An extended explanation in PDF: proj_class2.pdf
  • Data required in this exercise: proj_class2.zip
• A parameter estimation problem. The resistance of carbon film resistors.
  • An extended explanation in PDF: proj_parm1.pdf
  • Data required in this exercise: proj_parm1.zip

Errata

• Page 23, Listing 2.2:

  w2 = w1*classc*costm([],cost);  % Take cost into account

  should read:

  w2 = w1*classc*costm([],cost'); % Take cost into account

• Page 202, Listing 6.1:

  title(['forward: ' num2str(+w{2})]);

  should read:
  =title(['forward: ' num2str(+w)]);=

  title(['backward: ' num2str(+w{2})]);

  should read:

  title(['backward: ' num2str(+w)]);

  title(['b&b: ' num2str(+w{2})]);

  should read:

  title(['b&b: ' num2str(+w)]);

• Page 278, Listing 8.3 and Page 290, Listing 8.4:

  z = acquire_measurement_vector();

  should read:

  z = acquire_measurement_vector;

  u = get_control_vector();

  should read:

  u = get_control_vector;