Efficient bottom-up hybrid hierarchical clustering techniques for protein sequence classification-Reference-Cited by-同舟云学术

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Efficient bottom-up hybrid hierarchical clustering techniques for protein sequence classification

Published:2006-12 Issue:12 Volume:39 Page:2344-2355
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Vijaya P.A.,Narasimha Murty M.,Subramanian D.K.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference41 articles.

1. Bioinformatics—Sequence and Genome Analysis;Mount,2002

2. Computational Molecular Biology—An Introduction;Peter,2000

3. Data Mining: Multimedia, Soft Computing and Bioinformatics;Mitra,2003

4. P. Berkhin, Survey of clustering data mining techniques, Technical Report, http://citeseer.nj.nec.com/berkhin02survey.htrnl, 2002.

5. Algorithms for Clustering Data;Jain,1988

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