Soft Independent Modelling of Class Analogies
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Soft Independent Modelling of Class Analogies

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High Quality Content by WIKIPEDIA articles! Soft 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. The term soft refers to the fact the classifier can identify samples as belonging to multiple classes and not necessarily producing a classification of samples into non-overlapping classes. In order to build the classification models, the samples belonging to each class need to be analysed using principal compon...