discretization of the input data. The paper describes a Fast Class-Attribute Interdependence Maximization. (F-CAIM) algorithm that is an extension of the. MCAIM: Modified CAIM Discretization Algorithm for. Classification. Shivani V. Vora. (Research) Scholar. Department of Computer Engineering, SVNIT. CAIM (Class-Attribute Interdependence Maximization) is a discretization algorithm of data for which the classes are known. However, new arising challenges.
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Updated 17 Oct 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: One can start with “ControlCenter. If there is any problemplease let me know.
I will answer you as soon as possible. Hello sir i am student of jntuk university. Thanks for the code Guangdi Li. I have a question regarding the class labels.
CAIM Discretization Algorithm – File Exchange – MATLAB Central
I am not able to understand the class labels allgorithm to the Yeast dataset. Aren’t the class label supposed to be a binary indicator matrix with 1ofK coding?
Could you please send me the data directly? Then I could test it and find the problem.
ur-CAIM: An Improved CAIM Discretization Algorithm for Unbalanced and Balanced Data Sets
Hi, I got a error, can u help me? Attempted to access B 0 ; index must be a positive integer or logical. Learn About Live Editor.
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CAIM class-attribute interdependence maximization is designed to discretize continuous data. Comments and Ratings 4.
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Guangdi Li Guangdi Li view profile. Yu Li Yu Li view profile. Updates 17 Oct 1.
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