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IJIT
2004

IMDC: An Image-Mapped Data Clustering Technique for Large Datasets

13 years 11 months ago
IMDC: An Image-Mapped Data Clustering Technique for Large Datasets
In this paper, we present a new algorithm for clustering data in large datasets using image processing approaches. First the dataset is mapped into a binary image plane. The synthesized image is then processed utilizing efficient image processing techniques to cluster the data in the dataset. Henceforth, the algorithm avoids exhaustive search to identify clusters. The algorithm considers only a small set of the data that contains critical boundary information sufficient to identify contained clusters. Compared to available data clustering techniques, the proposed algorithm produces similar quality results and outperforms them in execution time and storage requirements. Keywords-- Data clustering, Data mining, Image-mapping, Pattern discovery, Predictive analysis.
Faruq A. Al-Omari, Nabeel I. Al-Fayoumi
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where IJIT
Authors Faruq A. Al-Omari, Nabeel I. Al-Fayoumi
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