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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Comparison of Different Partitional Algorithms Based on Efficiency |
| Authors Name: | Nasreen Taj M.B , Neelambike S |
| Unique Id: | IJSDR1707014 |
| Published In: | Volume 2 Issue 7, July-2017 |
| Abstract: | In this paper we describe cluster analysis and compare different Partitional algorithms based on their efficiency by considering gene data. For the Partitional algorithms we are going to give DNA sequences of one or two animals (like human, rat, monkey) as input. Here we take the input, DNA sequence for different animals, from the website www.ncbi.nlm.nih.gov which is a Government website. The Partitional algorithms compare the similarity between the genes and form clusters. Then find the time taken for clustering and find effective cluster using the above methods. Using the efficiency in time we conclude that which method is best for finding effective cluster. |
| Keywords: | - mean, K-mean, Partitional algorithm, cluster analysis |
| Cite Article: | "Comparison of Different Partitional Algorithms Based on Efficiency ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 7, page no.106 - 110, July-2017, Available :http://www.ijsdr.org/papers/IJSDR1707014.pdf |
| Downloads: | 000337061 |
| Publication Details: | Published Paper ID: IJSDR1707014 Registration ID:170601 Published In: Volume 2 Issue 7, July-2017 DOI (Digital Object Identifier): Page No: 106 - 110 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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