The quickest way to begin using the toolbox is to follow along with the short tutorial/demo. The tutorial provides the basic information needed to begin your exploratory data analysis with the CCToolbox. After reading the tutorial, you may want to further explore specific topics by reading the online documentation provided below.
I am currently in the process of rolling out the online documentation. There should soon be online documentation of every function in the toolbox, including detailed documentation for every clustering function. In the meantime, you can access the matlab documentation for each function by using the help facility.
The complete contents of the toolbox can be explored by browsing through the directory structure.
| CCToolbox\docs\ | - Documentation | |
| CCToolbox\gui\ | - Graphical user interface tools | |
| CCToolbox\mixtures\ | - Clustering models | |
| CCToolbox\model_selection\ | - Model selection tools | |
| CCToolbox\regression\ | - Regression tools | |
| CCToolbox\simulation\ | - Data simulation tools | |
| CCToolbox\splines\ | - Spline and spline regression tools | |
| CCToolbox\stats\ | - Some statistics functions | |
| CCToolbox\utils\ | - General utilities | |
| CCToolbox\view\ | - Visualization tools |
You can view the root help file from within the matlab helpwin browser by running help_cct() at any time. You can get a list of the functions in each of the above directories by typing helpwin <directory> or help <directory> at the matlab prompt.
Important: You must run SetCCTPath() each time you wish to use this toolbox. You can run this automatically by starting matlab with the -r option.