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OPLS discriminant a...
OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification
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- Bylesjö, Max (författare)
- Umeå universitet,Kemiska institutionen
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Rantalainen, Mattias (författare)
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Cloarec, Olivier (författare)
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Nicholson, Jeremy K. (författare)
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Holmes, Elaine (författare)
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- Trygg, Johan (författare)
- Umeå universitet,Kemiska institutionen,Computational Life Science Cluster (CLiC)
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(creator_code:org_t)
- 2007
- 2006
- Svenska.
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Ingår i: Journal of Chemometrics. - : Wiley. - 0886-9383 .- 1099-128X. ; 20:8-10, s. 341-351
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The characteristics of the OPLS method have been investigated for the purpose of discriminant analysis (OPLS-DA). We demonstrate how class-orthogonal variation can be exploited to augment classification performance in cases where the individual classes exhibit divergence in within-class variation, in analogy with soft independent modelling of class analogy (SIMCA) classification. The prediction results will be largely equivalent to traditional supervised classification using PLS-DA if no such variation is present in the classes. A discriminatory strategy is thus outlined, combining the strengths of PLS-DA and SIMCA classification within the framework of the OPLS-DA method. Furthermore, resampling methods have been employed to generate distributions of predicted classification results and subsequently assess classification belief. This enables utilisation of the class-orthogonal variation in a proper statistical context. The proposed decision rule is compared to common decision rules and is shown to produce comparable or less class-biased classification results.
Ämnesord
- NATURVETENSKAP -- Biologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences (hsv//eng)
Nyckelord
- OPLS-DA
- orthogonal
- multivariate
- classification
- PLS-DA
- SIMCA
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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