메뉴 건너뛰기




Volumn 7, Issue 1, 2007, Pages 203-210

Unsupervised learning with normalised data and non-Euclidean norms

Author keywords

Data normalisation; Distance measures; Growing neural gas; K means; Neural gas; Self organising map; Unsupervised learning

Indexed keywords

ALGORITHMS; CORRELATION THEORY; DATA REDUCTION; DISTANCE MEASUREMENT; PATTERN RECOGNITION;

EID: 33750957962     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2005.05.005     Document Type: Article
Times cited : (23)

References (15)
  • 4
    • 34250115918 scopus 로고
    • An examination of procedures for determining the number of clusters in a data set
    • Milligan G.W., and Cooper M.C. An examination of procedures for determining the number of clusters in a data set. Psychometrika 50 2 (1985) 159-179
    • (1985) Psychometrika , vol.50 , Issue.2 , pp. 159-179
    • Milligan, G.W.1    Cooper, M.C.2
  • 5
    • 33750937693 scopus 로고    scopus 로고
    • C. Blake, C. Merz, (UCI) Repository of Machine Learning Databases, http://www.ics.uci.edu/∼mlearn/MLRepository.html (1998).
  • 9
    • 3142710137 scopus 로고    scopus 로고
    • Unsupervised ontogenic networks
    • Fiesler E., and Beale R. (Eds), IOP Publishing Ltd./Oxford University Press
    • Fritzke B. Unsupervised ontogenic networks. In: Fiesler E., and Beale R. (Eds). Handbook of Neural Computation (1997), IOP Publishing Ltd./Oxford University Press C2.4:1-C2.4:16
    • (1997) Handbook of Neural Computation
    • Fritzke, B.1
  • 10
    • 0027632248 scopus 로고
    • Neural gas network for vector quantization and its application to time-series prediction
    • Martinetz T.M., Berkovich S.G., and Schulten K.J. Neural gas network for vector quantization and its application to time-series prediction. IEEE Trans. Neural Networks 4 4 (1993) 558-569
    • (1993) IEEE Trans. Neural Networks , vol.4 , Issue.4 , pp. 558-569
    • Martinetz, T.M.1    Berkovich, S.G.2    Schulten, K.J.3
  • 11
    • 85135470835 scopus 로고
    • A growing neural gas network learns topologies
    • Tesauro G., Touretzky D., and Leen T. (Eds), MIT Press, Cambridge
    • Fritzke B. A growing neural gas network learns topologies. In: Tesauro G., Touretzky D., and Leen T. (Eds). Advances in Neural Processing Systems 7 (NIPS'94) (1995), MIT Press, Cambridge 625-632
    • (1995) Advances in Neural Processing Systems 7 (NIPS'94) , pp. 625-632
    • Fritzke, B.1
  • 13
    • 0025489075 scopus 로고
    • The self-organizing map
    • Kohonen T. The self-organizing map. Proc. IEEE 78 9 (1990) 1464-1480
    • (1990) Proc. IEEE , vol.78 , Issue.9 , pp. 1464-1480
    • Kohonen, T.1
  • 14
    • 0028204732 scopus 로고
    • Topology representing networks
    • Martinetz T.M., and Schulten K.J. Topology representing networks. Neural Networks 7 3 (1994) 507-522
    • (1994) Neural Networks , vol.7 , Issue.3 , pp. 507-522
    • Martinetz, T.M.1    Schulten, K.J.2
  • 15
    • 0032207166 scopus 로고    scopus 로고
    • Comparing neural networks: a benchmark on growing neural gas, growing cell structures, and fuzzy artmap
    • Heinke D., and Hamker F.H. Comparing neural networks: a benchmark on growing neural gas, growing cell structures, and fuzzy artmap. IEEE Trans. Neural Networks 9 6 (1998) 1279-1291
    • (1998) IEEE Trans. Neural Networks , vol.9 , Issue.6 , pp. 1279-1291
    • Heinke, D.1    Hamker, F.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.