Correlation-based K-Nearest Neighbor Algorithm

作     者：Xinran Li International School Beijing University of Posts and Telecommunications Beijing ChinaChenhui Xiang International School Beijing University of Posts and Telecommunications Beijing China 

会议名称：《2012 IEEE 3rd International Conference on Software Engineering and Service Science（ICSESS 2012）》

会议日期：2012年

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 

关 键 词：component K-nearest neighbor algorithm correlation data classification 

摘      要：Data classification is an important task of data mining,and developing high-powered classification algorithm is one of the key procedures for data *** paper provides an improved K-nearest neighbor algorithm-correlation-based K-nearest neighbor *** new algorithm makes data classification base on the correlation calculation,and uses a modified probability to improve the computational speed and prediction *** experimental results show that the correlation-based K-nearest neighbor algorithm is more suitable to classify massive high-dimensional data sets while comparing with traditional K-nearest neighbor algorithm.