TY - JOUR
T1 - A comprehensive tutorial on Data‐Driven SIMCA: Theory and implementation in web
AU - Kucheryavskiy, Sergey
AU - Rodionova, Oxana
AU - Pomerantsev, Alexey
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - DD-SIMCA
KW - SIMCA
KW - chemometrics
KW - one-class classifier
KW - tutorial
UR - http://www.scopus.com/inward/record.url?scp=85192809100&partnerID=8YFLogxK
U2 - 10.1002/cem.3556
DO - 10.1002/cem.3556
M3 - Journal article
SN - 0886-9383
SP - 1
EP - 19
JO - Journal of Chemometrics
JF - Journal of Chemometrics
M1 - e3556
ER -