Distortion function and clustering for local linear models

Journal of Sound and Vibration

Volumn 280, Issue 1-2, 2005, Pages 443-448

  Kerschen, G ^a   Yan, A M ^a   Golinval, J C ^a  

^a UNIVERSITY OF LIÈGE   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; CONVERGENCE OF NUMERICAL METHODS; DATA REDUCTION; DYNAMIC RESPONSE; ERROR ANALYSIS; ITERATIVE METHODS; MATHEMATICAL MODELS; SET THEORY; VECTOR QUANTIZATION; VECTORS;

DATA SPACES; DISTORTION FUNCTION; EUCLIDEAN PARTITIONS; VECTOR QUANTIZATION PRINCIPAL COMPONENT ANALYSIS (VQPCA);

PRINCIPAL COMPONENT ANALYSIS;

EID: 9644273871     PISSN: 0022460X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jsv.2004.02.043     Document Type: Article

References (7)

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3. G. Kerschen, J.C. Golinval, Nonlinear generalisation of principal component analysis: from a global to a local approach, Journal of Sound and Vibration 254 (2002) 867-876.
4. S.P. Lloyd, Least squares quantization in PCM, Bell Laboratories Technical Note, 1957. Published in IEEE Transactions on Information Theory 28 (1982) 129-137.
5. S.P. Lloyd, Least squares quantization in PCM, Bell Laboratories Technical Note, 1957. Published in IEEE Transactions on Information Theory 28 (1982) 129-137.
6. A. Gersho, R.M. Gray, Vector Quantization and Signal Compression, Kluwer Academic Publishers, Norwell, 1992.
7. A.M. Yan, G. Kerschen, P. De Boe, J.C. Golinval, Structural damage diagnosis under changing environmental conditions - part II: local PCA for nonlinear cases, Mechanical Systems and Signal Processing, submitted.