Abstract:
In this paper,the correlation intensity of two arbitrary conditional attributes was measured by conditional mutual information,and the correlation intensity between every conditional attribute and classification attribute was measured by mutual information.On that criterion to cluster the conditional attributes,a new grouping method to cluster the conditional attributes was proposed.Simultaneously,combined with naive bayes classification algorithm,an improved naive bayes classification model was constructed.Simulation results showed the efficiency of this method is preferable.