SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system
Background SpectraClassifier (SC) is a Java solution for designing and implementing
Magnetic Resonance Spectroscopy (MRS)-based classifiers. The main goal of SC is to allow
users with minimum background knowledge of multivariate statistics to perform a fully
automated pattern recognition analysis. SC incorporates feature selection (greedy stepwise
approach, either forward or backward), and feature extraction (PCA). Fisher Linear
Discriminant Analysis is the method of choice for classification. Classifier evaluation is …
Magnetic Resonance Spectroscopy (MRS)-based classifiers. The main goal of SC is to allow
users with minimum background knowledge of multivariate statistics to perform a fully
automated pattern recognition analysis. SC incorporates feature selection (greedy stepwise
approach, either forward or backward), and feature extraction (PCA). Fisher Linear
Discriminant Analysis is the method of choice for classification. Classifier evaluation is …
[引用][C] SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system
JS Margarida, O Iván, OM Sandra, A Carles - 2010
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