The aim of this paper is twofold. First, it serves as a comprehensive tutorial onData-Driven Soft Independent Modelling of Class Analogy (SIMCA)(DD-SIMCA) method for one-class classification. It covers all practical aspectsof developing, validation, and application of DD-SIMCA models, using a set ofsimple examples. Second, it introduces web application that implements themain DD-SIMCA functionality. This application is freely available for everyoneand does not require registration or installation. All calculations run locally ina browser without sending any information on a server, hence removing anyobstacles to the dissemination of the data and models.
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Kucheryavskiy et al. (2024) studied this question.
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