An Improved K-Means Algorithm for DNA Sequence Clustering

In recent years, billions of DNA and protein sequences are subject to sequencing. However, few of them have known structures and functions, most remain unknown. The solution to this problem is to link sequences between them rather than revisit each new sequence independently of other sequences. Thus...

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Bibliographic Details

Published in:	Proceedings - International Workshop on Database and Expert Systems Applications pp. 39 - 42
Main Authors:	Aleb, Nasssima, Labidi, Narimane
Format:	Conference Proceeding Journal Article
Language:	English
Published:	IEEE 01.09.2015
Subjects:	Bioinformatics Classification Clustering Clustering algorithms Clustering methods Deoxyribonucleic acid DNA DNA Sequence Analysis Expert systems Gene sequencing K-means Proteins Sequential analysis Vector quantization Workshops
ISBN:	1467375810, 9781467375818
ISSN:	1529-4188, 2378-3915
Online Access:	Get full text
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