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A principal component analysis algorithm with invariant norm

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Publication:1898911
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DOI10.1016/0925-2312(95)00044-7zbMath0833.68107OpenAlexW2063692987MaRDI QIDQ1898911

Fa-Long Luo, Rolf Unbehauen, Yan-Da Li

Publication date: 25 September 1995

Published in: Neurocomputing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0925-2312(95)00044-7


zbMATH Keywords

principal component analysisunsupervised learningadaptive signal processingPCA algorithm


Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Learning and adaptive systems in artificial intelligence (68T05)


Related Items (4)

A concise functional neural network computing the largest modulus eigenvalues and their corresponding eigenvectors of a real skew matrix ⋮ A recurrent neural network computing the largest imaginary or real part of eigenvalues of real matrices ⋮ Neural networks based approach for computing eigenvectors and eigenvalues of symmetric matrix ⋮ A functional neural network computing some eigenvalues and eigenvectors of a special real matrix







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