Clustering: Applied to Data Structuring and Retrieval

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 em...

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Veröffentlicht in:International journal of advanced computer science & applications 2011, Vol.2 (11)
Hauptverfasser: Iloanusi, Ogechukwu N, Osuagwu, Charles C
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2011.021116