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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
IDENTIFY BRAIN DISORDER USING CLUSTERING TECHNIQUE
Authors
Priti Mithari, Amruta Gadekar
Keywords
Clustering techniques, K-means, fMRI technique.
Abstract
The Brain activities are very complicated and difficult to understand. Many psychiatric disorders related to the brain are difficult to detect or identify. Functional magnetic resonance imaging (fMRI) provides the potential to study brain function. The basic signal of fMRI depends upon the blood-oxygen-level-dependent (BOLD) effect which helps to study human brain functions. The purpose of Clustering Technique is to understand the complex interaction patterns among brain regions as well as identify brain disorders. To detect clusters of objects with similar interaction patterns we proposed a partitioning clustering algorithm that is propose K-means (KM), an efficient algorithm for partitioning clustering. The K-means (KM), an efficient algorithm which begins with an initial guess to the cluster centers, and iteratively refines them an efficient algorithm for partitioning clustering.
IJCRT's Publication Details
Unique Identification Number - IJCRT1813460
Paper ID - 189210
Page Number(s) - 110-114
Pubished in - Volume 6 | Issue 2 | APRIL 2018
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Priti Mithari, Amruta Gadekar, "IDENTIFY BRAIN DISORDER USING CLUSTERING TECHNIQUE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.110-114, APRIL 2018, Available at :http://www.ijcrt.org/papers/IJCRT1813460.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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