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CAIM Discretization Algorithm

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CAIM Discretization Algorithm


Guangdi Li


04 Jun 2009 (Updated )

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

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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)
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Comments and Ratings (2)
28 Jun 2010 Guangdi Li

Guangdi Li

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

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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17 Oct 2010

As requested by the authors of CAIM, I add their paper in reference.

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