| A CLASS-MODELLING TECHNIQUE BASED ON POTENTIAL FUNCTIONS |
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| 作者姓名： | MICHELEFORINA CARLAARMANINO RICCARDOLEARDI GIULIANADRAVA |
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| 作者单位： | Istituto di Analisi e Tecnologie Farmaceutiche ed Alimentari via Brigata Salerno，1-16147 Genova，Italy，Istituto di Analisi e Tecnologie Farmaceutiche ed Alimentari，via Brigata Salerno，1-16147 Genova，Italy，Istituto di Analisi e Tecnologie Farmaceutiche ed Alimentari，via Brigata Salerno，1-16147 Genova，Italy，Istituto di Analisi e Tecnologie Farmaceutiche ed Alimentari，via Brigata Salerno，1-16147 Genova，Italy |
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| 摘 要： | A probabilistic and distribution-free class-modelling technique is developed from potential functiondiscriminant analysis.In the multidimensional space of variables the class boundary is built either by thesample percentile of the probability density estimated by means of potential functions,or by the estimateof the ‘equivalent’ determinant of the variance-covariance matrix.The equivalent determinant is that ofa hypothetical multivariate normal distribution whose mean probability density was obtained by potentialfunctions.The bases of this modelling rule are evaluated by means of Monte Carlo experiments.Theresults on four datasets are used to measure the performances of this method,which equal and sometimesexceed the performances of parametric class-modelling methods based on linear and quadraticdiscriminant analysis which were used for comparison.
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A CLASS-MODELLING TECHNIQUE BASED ON POTENTIAL FUNCTIONS |
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| MICHELEFORINA,CARLAARMANINO,RICCARDOLEARDI,GIULIANADRAVA.A CLASS-MODELLING TECHNIQUE BASED ON POTENTIAL FUNCTIONS[J].Journal of Geographical Sciences,1991(5). |
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| Abstract: | |
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| Keywords: | Class-modelling methods Potential functions Pattern recognition Discriminant analysis |
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