A comprehensive tutorial on Data-Driven SIMCA: Theory and implementation in web

Abstract

The aim of this paper is twofold. First, it serves as a comprehensive tutorial on Data-Driven Soft Independent Modelling of Class Analogy (SIMCA) (DD-SIMCA) method for one-class classification. It covers all practical aspects of developing, validation, and application of DD-SIMCA models, using a set of simple examples. Second, it introduces web application that implements the main DD-SIMCA functionality. This application is freely available for everyone and does not require registration or installation. All calculations run locally in a browser without sending any information on a server, hence removing any obstacles to the dissemination of the data and models.