Clustering: Applied to Data Structuring and Retrieval

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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  • EP ID EP108335
  • DOI -
  • Views 97
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How To Cite

Ogechukwu N. Iloanusi, Charles C. Osuagwu (2011). Clustering: Applied to Data Structuring and Retrieval. International Journal of Advanced Computer Science & Applications, 2(11), 100-105. https://europub.co.uk/articles/-A-108335