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
