期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：1
页码：671-673
出版社：TechScience Publications
摘要：To maintain the quality of software and to better understand it, software architecture is decomposed. Software decomposition is done by various clustering methods. Each method provides different results of clustering on datasets. This paper presents the review of various clustering methods with A-KNN method in terms of efficiency and accuracy. It also proposes the way to enhance AKNN clustering technique so that each component of the software can be clustered properly. This enhancement will be done on Euclidean distance by normalization method.
