文章基本信息

标题：RESEARCH ON MULTI-RELATIONAL CLUSTERING PROBLEMS BASED ON PROPER-LINK
本地全文：下载
作者：YAN YAN ; AIMIN YANG ; YUANYUAN CAI 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：49
期号：2
出版社：Journal of Theoretical and Applied
摘要：A relational database contains a wealth of information, and multi-relational clustering can be obtained by adopting proper-link. The similarities between prospers and linked calculation target topples can be worked out through searching for relevant multi-relational prospers and links of user clustering target, then the clustering can be completed by selecting CLARANS. In order to promote the efficiency of multi-relational data clustering algorithm, two-stage multi-relational data clustering algorithm is proposed. The method of fuzzy clustering is used to divide the area by the similar feature of load increasing. The new division is promising to improve the result of evident degree of clustering index to power load, the weighted demarcating method is inducted.
关键词：Data Mining; Multi-relational Clustering; Proper-link Clustering