Classification model based on mutual information
Xuegang Hu · Journal of Computer Applications · 2011
Concerning the relevance between the attributes and the contribution difference of attribute values to attribute weights in classification dataset,an improved classification model and the formulas for calculating the impact factor and sample forecast information were proposed based on mutual information.And the classification model predicted the unlabelled object classes with the sample forecast information.Finally,the experimental results show that the classification model based on mutual information can effectively improve forecast precision and accuracy performance of classification algorithm.