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Volumn 14, Issue 2, 2007, Pages 207-224

Two topographic maps for data visualisation

Author keywords

Product of experts; Topographic mapping

Indexed keywords

COMPUTATIONAL METHODS; DATA STRUCTURES; HARMONIC ANALYSIS; MATHEMATICAL MODELS; NONLINEAR SYSTEMS;

EID: 33947287433     PISSN: 13845810     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10618-006-0047-5     Document Type: Review
Times cited : (34)

References (13)
  • 2
    • 3543075142 scopus 로고    scopus 로고
    • Maximum and minimum likelihood hebbian learning for exploratory projection pursuit
    • Corchado E, MacDonald D, Fyfe C (2004) Maximum and minimum likelihood hebbian learning for exploratory projection pursuit. Data Mining Knowl Disc 8:203-225
    • (2004) Data Mining Knowl Disc , vol.8 , pp. 203-225
    • Corchado, E.1    MacDonald, D.2    Fyfe, C.3
  • 3
    • 0031105711 scopus 로고    scopus 로고
    • A comparative study of two neural methods of exploratory projection pursuit
    • Fyfe C (1997) A comparative study of two neural methods of exploratory projection pursuit. Neural Networks 10(2):257-262
    • (1997) Neural Networks , vol.10 , Issue.2 , pp. 257-262
    • Fyfe, C.1
  • 7
    • 33947237319 scopus 로고    scopus 로고
    • Hinton GE (2000) Training products of experts by minimizing contrastive divergence. Technical Report GCNU TR 2000-004, Gatsby Computational Neuroscience Unit, University College, London, http://www.gatsby.ucl.ac.uk/
    • Hinton GE (2000) Training products of experts by minimizing contrastive divergence. Technical Report GCNU TR 2000-004, Gatsby Computational Neuroscience Unit, University College, London, http://www.gatsby.ucl.ac.uk/
  • 9
    • 0000262562 scopus 로고
    • Hierarchical mixtures of experts and the em algorithm
    • Jordan M, Jacobs R (1994) Hierarchical mixtures of experts and the em algorithm. Neural Comput 6:181-214
    • (1994) Neural Comput , vol.6 , pp. 181-214
    • Jordan, M.1    Jacobs, R.2
  • 11
    • 0345863503 scopus 로고    scopus 로고
    • Products of gaussians and probabilistic minor components analysis
    • Technical Report EDI-INF-RR-0043, University of Edinburgh
    • Williams C, Agakov FV (2001) Products of gaussians and probabilistic minor components analysis. Technical Report EDI-INF-RR-0043, University of Edinburgh
    • (2001)
    • Williams, C.1    Agakov, F.V.2
  • 12
    • 0012981871 scopus 로고    scopus 로고
    • Generalized k-harmonic means-boosting in unsupervised learning
    • Technical report, HP Laboratories, Palo Alto
    • Zhang B (2000) Generalized k-harmonic means-boosting in unsupervised learning. Technical report, HP Laboratories, Palo Alto
    • (2000)
    • Zhang, B.1
  • 13
    • 0037530529 scopus 로고    scopus 로고
    • K-harmonic means - a data clustering algorithm
    • Technical report, HP Laboratories, Palo Alto
    • Zhang B, Hsu M, Dayal U (1999) K-harmonic means - a data clustering algorithm. Technical report, HP Laboratories, Palo Alto
    • (1999)
    • Zhang, B.1    Hsu, M.2    Dayal, U.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.