Clustering: Applied to Data Structuring and Retrieval
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2011, Vol 2, Issue 11
Abstract
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.
Authors and Affiliations
Ogechukwu N. Iloanusi , Charles C. Osuagwu
Keywords
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