An Inductive Learning Method for Classification Based on Information Theory
Juan Wen · Journal of Xiamen University · 2009
An inductive learning method for classification based on information theory is proposed,which is a maximum contribution classification method according to the theory of channel transmission in information theory,the definition contribution is developed based on probability distribution of classified space,probability transfer matrices of classified space and feature space and mutual information,then entities is classified by the maximum contribution method.Finally the empirical test and analyses prove the feasibility of the method.