The evaluation of probabilistic classification methods

Voet, Hilko van der; Coenegracht, P.M.J.; Hemel, Jan

doi:10.1016/s0003-2670(00)84546-8

Cited by 7 publications

(1 citation statement)

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“…In order to explain the complementary behavior of these two classification methods, the "inside model space" (IMS) and "outside model space" (OMS) defined by Van Der Voet et al is used (10). During principal component analysis of a training set, a set of eigenvectors is produced that can be divided into two sets: a primary set of eigenvectors that span the "inside model space" of the training set and a secondary set of eigenvectors that span the "outside model space" of the training set.…”

Section: Theorymentioning

confidence: 99%

Combination of the Mahalanobis distance and residual variance pattern recognition techniques for classification of near-infrared reflectance spectra

Shah¹,

Gemperline²

1990

Anal. Chem.

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465proaches agree well, a consequence of the area parameter of eq 2 ( N w J dominating at short times (i.e., in the time range where eq 1 was applied). The values of ro and N in Table I11 characterize the random (site overlap allowed) disk electrode ensemble that would display transient diffusion current equivalent to the corresponding composite. It is both surprising and encouraging that the transient diffusion current at these composite electrodes, whose surface morphologies are essentially impossible to defiie geometrically, can be predicted from model ensembles consisting of well-defined (disk) active site geometry. CONCLUSIONKel-F/ precious metal composite electrodes with low volume percent conductor have been shown to possess high electrical conductivities and to exhibit behavior typical of microelectrode ensembles. The enhanced current densities displayed by these composites should result in higher signal-to-noise ratios than obtained at the corresponding macro disk electrodes, making them attractive alternative electrode materials for electroanalytical measurements, including amperometric detection in flowing streams (24). Furthermore, the enhanced current density coupled with the high conductivity and low precious metal content of these composites may make them attractive for energy generation and storage applications, particularly where weight and cost are considerations. Further optimization of the fabrication and composition of Kel-F/precious metal composites should lead to improvements in the advantageous properties reported here for these first generation Kelgold and Kelplat electrodes. Work in these areas is in progress. Principal component analysis of near-infrared reflectance (NIR) spectra is used for the calcuiatlon of Mahalanoblseilng Of 'lass ('IMCA) ciasslfication models. The Mahaianobls dlstance classlflcatlon and the space spanned by the secondary vectors 1 s used in SIMCA residual variance ciasslfkation. The complementary behavior of these two classlflcatlon methods Is discussed and a new classification rule based on a combination of the two methods IS described.The application of NIR spectroscopy and the pattern recognltion technique for ldentlfylng and classifying raw materials used in pharmaceutical Industry is also discussed.

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Section: Theorymentioning

confidence: 99%