2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering 2013
DOI: 10.1109/icprime.2013.6496455
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A novel approach to select significant genes of leukemia cancer data using K-Means clustering

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Cited by 6 publications
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“…[4] In this method, all the samples will be treated equally at the time of clustering. But some genes of the samples might have been over expressed and more weightage will be given for such samples.…”
Section: Introductionmentioning
confidence: 99%
“…[4] In this method, all the samples will be treated equally at the time of clustering. But some genes of the samples might have been over expressed and more weightage will be given for such samples.…”
Section: Introductionmentioning
confidence: 99%