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Volumn 2, Issue , 2008, Pages 197-203

Robust centroid-based clustering using derivatives of pearson correlation

Author keywords

Centroid based clustering; Correlation; Quantization cost optimization

Indexed keywords

BIOACTIVITY; CHROMATOGRAPHIC ANALYSIS; CONFORMAL MAPPING; CORRELATION METHODS; FLOW OF SOLIDS; FRUITS; GENE EXPRESSION; LEARNING SYSTEMS; MASS SPECTROMETERS; MASS SPECTROMETRY; SELF ORGANIZING MAPS; SIGNAL PROCESSING;

EID: 55649095712     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (13)
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    • Cottrell, M.1    Fort, J.2    Pages, G.3
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    • Exploring the conditional coregulation of yeast gene expression through fuzzy k-means clustering
    • Gasch, A. and Eisen, M. (2002). Exploring the conditional coregulation of yeast gene expression through fuzzy k-means clustering. Genome Biology, 3(11):1-22.
    • (2002) Genome Biology , vol.3 , Issue.11 , pp. 1-22
    • Gasch, A.1    Eisen, M.2
  • 6
    • 0002059002 scopus 로고    scopus 로고
    • Energy functions for self-organizing maps
    • Oja, E. and Kaski, S, editors, Elsevier, Amsterdam
    • Heskes, T. (1999). Energy functions for self-organizing maps. In Oja, E. and Kaski, S., editors, Kohonen Maps, pages 303-316. Elsevier, Amsterdam.
    • (1999) Kohonen Maps , pp. 303-316
    • Heskes, T.1
  • 7
    • 0003410791 scopus 로고    scopus 로고
    • Springer-Verlag, Berlin, 3rd edition
    • Kohonen, T. (2001). Self-Organizing Maps. Springer-Verlag, Berlin, 3rd edition.
    • (2001) Self-Organizing Maps
    • Kohonen, T.1
  • 9
    • 0027632248 scopus 로고
    • Neural-gas network for vector quantization and its application to time-series prediction
    • Martinetz, T., Berkovich, S., and Schulten, K. (1993). "Neural-gas" network for vector quantization and its application to time-series prediction. IEEE Transactions on Neural Networks, 4(4):558-569.
    • (1993) IEEE Transactions on Neural Networks , vol.4 , Issue.4 , pp. 558-569
    • Martinetz, T.1    Berkovich, S.2    Schulten, K.3
  • 11
    • 85156210800 scopus 로고
    • Generalized Learning Vector Quantization
    • Tesauro, G, Touretzky, D, and Leen, T, editors, MIT Press
    • Sato, A. and Yamada, K. (1995). Generalized Learning Vector Quantization. In Tesauro, G., Touretzky, D., and Leen, T., editors, Advances in Neural Information Processing Systems 7 (NIPS), volume 7, pages 423-429. MIT Press.
    • (1995) Advances in Neural Information Processing Systems 7 (NIPS) , vol.7 , pp. 423-429
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  • 12
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    • Magnification control in self-organizing maps and neural gas
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    • Villmann, T.1    Claussen, J.2
  • 13
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    • Transitive functional annotation by shortest-path analysis of gene expression data
    • Zhou, X., Kao, M.-C., and Wong, W. (2002). Transitive functional annotation by shortest-path analysis of gene expression data. PNAS, 99(20):12783-12788.
    • (2002) PNAS , vol.99 , Issue.20 , pp. 12783-12788
    • Zhou, X.1    Kao, M.-C.2    Wong, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.