Weigted-KNN and its application on UCI

K nearest neighbor classification algorithm (KNN) is one of relatively simple method in data mining classification techniques, study and research KNN classification algorithm for data classification and data mining technology has a very important significance. An attribute Weighted KNN(W-KNN) method is utilized for reducing the irrelevant attributes. And the weight parameter can distinguish the different effective of different attributes in classification. The weight of each attribute is determined by the method of sensitivity. Finally, The results reveal that Weighted KNN algorithm improves the correct classification performance in Wine data set.