Soft independent modelling of class analogy
WebOne of the most popular pattern recognition methods in chemistry is SIMCA, an acronym for soft/simple independent modeling of class analogy. The central idea is to represent each class of objects by a separate principal component model. Because a probability can be estimated for belonging to a certain class and because outliers can be detected ... Web16 Nov 2009 · Classification of chemically modified celluloses using a near-infrared spectrometer and soft independent modeling of class analogy. Applied Spectroscopy, 51, 1826–1835. CrossRef Google Scholar Trygg, J., & Wold, S. (2002). Orthogonal projections to latent structures (OPLS). Journal of Chemometrics, 16, 119–128. CrossRef Google Scholar
Soft independent modelling of class analogy
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Web11 Apr 2024 · Applied mathematician / operational researcher working in healthcare modelling. Over the years I've applied various quantitative and analytical approaches across a number of fields, such as epidemiology, financial risk and capital modelling. My interests lie on the interface between academic theory and practical application. Learn more … WebStudies on the use of statistical data analysis methods for the classification of an ignitable liquid residues such as a combined method of target factor analysis with a Bayesian classifier, linear discriminant analysis, quadratic discriminant analysis, soft independent modeling of class analogy (SIMCA), self-organizing feature maps (SOFM).
WebTypical linear methods are linear discriminant analysis (LDA) based on distance calculation, soft independent modeling of class analogy (SIMCA), which emphasizes similarities within a class, and PLS discriminant analysis (PLS-DA), which performs regression between spectra and class memberships. Web20 Dec 2024 · Soft independent modeling of class analogy (SIMCA) is one of the first methods of class modeling proposed in 1976 [8]. With excellent ability, SIMCA has been …
WebSoft independent modelling by class analogy (SIMCA) is a statistical method for supervised classification of data. The method requires a training data set consisting of samples (or objects) with a set of attributes and their class membership.
WebWe report soft independent modeling of class analogy (SIMCA) analysis of laser-induced plasma emission spectra of edible salts from 12 different geographical origins for their classification model. The spectra were recorded by using a simple laser-induced breakdown spectroscopy (LIBS) device. Each class was modeled by principal component analysis … pure competitive industry is a price searcherWebWe report soft independent modeling of class analogy (SIMCA) analysis of laser-induced plasma emission spectra of edible salts from 12 different geographical origins for their … pure competition business exampleWeb3 May 2011 · In this study matrix-assisted laser desorption/ionisation time-of-flight (MALDI-TOF) mass spectra of tryptic-digested paint replicas are subjected to principal component analysis (PCA) and soft independent modelling of class analogy (SIMCA) in order to distinguish proteinaceous binders based on animal glues, egg white, egg yolk and milk … pure competition and monopolies are