Structure-oriented classifiers in objects feature space defined by set of measurement
Євген Арнольдович Настенко, Oleksandra Olegivna Konoval, Olena Konstantinovna Nosovets, Volodymyr Pavlov · 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT) · 2017
The paper considers a classification problem of objects that are given by a set of measurements. An optimal model structure of classified objects is suggested to obtain for each class to solve the problem. To construct the structures, a new version of GMDH algorithm was developed having a new combined external criterion that includes accuracy and division ability of objects structure of each class. Algorithm settings allow performing objects classification in two ways, using object accuracy at the class structure, or using the “one-vs-all” principle in the parameters space of the obtained structures.