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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 117
Article Submitted : 21307
Article Published : 8476
Total Authors : 22301
Total Reviewer : 802
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| Paper Title: | An Competent Artificial Bee Colony (ABC) and Fuzzy C Means Clustering Using Neuro-Fuzzy Discriminant Analysis from Gene Expression Data |
| Authors Name: | Sathishkumar , Dr.V.Thiagarasu , Dr.E.Balamurugan , Dr.M.Ramalingam |
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IJRTI_180044
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| Published Paper Id: | IJRTI1804005 |
| Published In: | Volume 3 Issue 4, April-2018 |
| DOI: | |
| Abstract: | This paper looks at the gene microarray data based on the pattern of gene expression using various clustering algorithms. To overcome the problems in gene expression analysis which are generally overlooked by the out-dated clustering algorithms we propose a novel algorithms for finding the co-regulated clusters, dimensionality reduction and clustering. The co-regulated clusters are determined using bi-correlation clustering algorithm (BCCA), also known as co-regulated biclusters. BCCA partakes erected bright to fruitage a numerous settled of biclusters of co-regulated genes over a slice of samples where all the genes in a bicluster have a similar alteration. The dimensionality diminution of microarray gene appearance data is carried out using Neuro - Fuzzy Discriminant Analysis (NFDA). To endure pledge amid the localities in area, NFDA is used and a well-organized Meta experiential optimization algorithm called Artificial Bee Colony (ABC) using Fuzzy C Means clustering is used for clustering the gene expression built on the strategy. The investigational results show that the proposed algorithm achieved a higher clustering accurateness and takes less clustering time when associated with existing algorithms. |
| Keywords: | Gene expression data, Bimax Algorithm, Neuro- fuzzy Discriminant Analysis, Artificial Bee Colony, Fuzzy C Means, Dimensionality Reduction. |
| Cite Article: | "An Competent Artificial Bee Colony (ABC) and Fuzzy C Means Clustering Using Neuro-Fuzzy Discriminant Analysis from Gene Expression Data", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 4, page no.24 - 28, April-2018, Available :http://www.ijrti.org/papers/IJRTI1804005.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI1804005
Registration ID:180044
Published In: Volume 3 Issue 4, April-2018
DOI (Digital Object Identifier):
Page No: 24 - 28 Country: Valayapalayam, Tamilnadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1804005 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1804005 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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