dd_tools安装要求

Data Description Matlab toolbox. (version 1.9.1)

This toolbox is an add-on to the PRTools toolbox. The toolbox contains

algorithms to train, investigate, visualize and evaluate one-class

classifiers (or data descriptions, novelty descriptors, outlier

detectors). Some experience with the PRTools toolbox is recommended.

This toolbox is developed as a research tool so no guarantees can be

given.

- Requirements:

In order to make this toolbox work, you need:

0. A computer and some enthusiasm

1. Matlab with the - optimization toolbox (for svdd and lpdd)

- statistics toolbox (for randsph)

and - neural network toolbox (for autoenc_dd)

2. PRTools 4.0.0 or higher

3. This toolbox.

- Installation:

The installation of the toolbox is almost trivial. Unzip the file, store

the contents in a directory (name it for instance DD_TOOLS) and add this

directory to your matlab path.

- Information and example code:

For the most basic information, type help DD_TOOLS (use the directory

name where the toolbox is stored). Some simple (and some not so simple!)

one-class examples are given in dd_ex1 till dd_ex15. For more

background information, please have a look at the pdf file included in

the directory. Some examples of the operation of the procedures in the

toolbox are given on the web-pages:

http://prlab.tudelft.nl/david-tax/dd_tools.html