文章基本信息

标题：Clustering: Applied to Data Structuring and Retrieval
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作者：Ogechukwu N Iloanusi ; Charles C. Osuagwu
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2011
卷号：2
期号：11
DOI：10.14569/IJACSA.2011.021116
出版社：Science and Information Society (SAI)
摘要：Clustering is a very useful scheme for data structuring and retrieval behuhcause it can handle large volumes of multi-dimensional data and employs a very fast algorithm. Other forms of data structuring techniques include hashing and binary tree structures. However, clustering has the advantage of employing little computational storage requirements and a fast speed algorithm. In this paper, clustering, k-means clustering and the approaches to effective clustering are extensively discussed. Clustering was employed as a data grouping and retrieval strategy in the filtering of fingerprints in the Fingerprint Verification Competition 2000 database 4(a). An average penetration of 7.41% obtained from the experiment shows clearly that the clustering scheme is an effective retrieval strategy for the filtering of fingerprints.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; component; Clustering; k-means; data retrieval; indexing.