Incremental Integration Algorithm based on Incremental RLID3

Wang Hongbin,Hu Lei,Xie Xiaodong,Zhou Lianke,Li Huafeng

Algorithm 3-2 ParallelAndWeightSecond (pre-classification sample data)

Input: data sets, the number of base classifiers Output: base classifier and its weight 1. Initialization of the weight recorder, making aij=0 2. for (classifier: classifier set) {//classifier represents the i classifier 3. j = classifier.classify (instance) //j represents the classification results of the classifier for the sample 4. aij += classifier.getWeight();//aij plus the weight of the i classifier 5. } 6. Calculatingthe sum of each column of weight recorder 7. The maximum value of each column is used as the classification results of pre classified data.