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### Highlights from CAIM Discretization Algorithm

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# CAIM Discretization Algorithm

### Guangdi Li (view profile)

04 Jun 2009 (Updated )

CAIM (class-attribute interdependence maximization) is designed to discretize continuous data.

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Description

The task of extracting knowledge from databases is quite often performed by machine learning algorithms. The majority of
these algorithms can be applied only to data described by discrete numerical or nominal attributes (features). In the case of continuous attributes, there is a need for a discretization algorithm that transforms continuous attributes into discrete ones.
This code is based on paper: "CAIM Discretization Algorithm", details can look for this paper [1].
One can start with "ControlCenter.m", here you will find a simple example , with explanations.
If there is any problem , please let me know. I will answer you as soon as possible.

[1] Kurgan, L. and Cios, K.J., 2004. CAIM Discretization Algorithm. IEEE Transactions on Knowledge and Data Engineering, 16(2):145-153

MATLAB release MATLAB 7.6 (R2008a)
02 Feb 2015 Hemanth

### Hemanth (view profile)

Thanks for the code Guangdi Li.
I have a question regarding the class labels. I am not able to understand the class labels assigned to the Yeast dataset. Aren't the class label supposed to be a binary indicator matrix with 1ofK coding?

28 Jun 2010 Guangdi Li

### Guangdi Li (view profile)

Sorry, I am not familiar with Statlog (Heart) Data Set (270, 13)? Could you please send me the data directly? Then I could test it and find the problem. Thanks

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27 Jun 2010 Yu Li

### Yu Li (view profile)

Hi, I got a error, can u help me?
Attempted to access B(0); index must be a positive integer or logical.
Error in ==> CAIM_Discretization at 73
D( k ) = B( Local );
I use Statlog (Heart) Data Set (270, 13).

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