Enhancement of K-nearest neighbor algorithm based on weighted entropy of attribute value

• Published in: 2012 5th International Conference on Biomedical Engineering and Informatics pp. 1261 - 1264
• Main Authors: Xingjiang Xiao, Huafeng Ding
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2012
• Subjects: cross validation; K nearest neighbor; weighted entropy

The traditional K-nearest neighbor algorithm usually adopts Euclidean distance formula to measure the distance between two samples. Since each attribute functions differently in the actual sample data collection, the accuracy of the classification will be reduced consequently. In order to improve tr...