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Asian Journal of Scientific Research
  Year: 2008 | Volume: 1 | Issue: 4 | Page No.: 444-450
DOI: 10.3923/ajsr.2008.444.450
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A Semaphore Based Multiprocessing k-Mean Algorithm for Massive Biological Data

M. Hemalatha and K. Vivekanandan

In the present scenario, the concept of Distributed Processing System is more beneficial with respect to time saving, cost reduction and more clarity of clustering process. Earlier, while clustering huge amount of data it consumed lot of time, energy and cost. Now, by applying parallel and distributed approach, we can minimize the total time necessary for clustering the data thereby reducing cost. In this research, parallel and distributed version of k-means clustering algorithm is proposed. The proposed algorithm will be implemented using Matlab and will be tested with large synthetic data sets.
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How to cite this article:

M. Hemalatha and K. Vivekanandan, 2008. A Semaphore Based Multiprocessing k-Mean Algorithm for Massive Biological Data. Asian Journal of Scientific Research, 1: 444-450.

DOI: 10.3923/ajsr.2008.444.450






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