Classification of bivariate distribution based on EM algorithm (CROSBI ID 667361)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Barbir, Ante ; Ban, Dario ; Perišić, Stipe
engleski
Classification of bivariate distribution based on EM algorithm
In present, there are many possibilities to collect large amount of data readings during measurement of specific physical quantities on various systems. This large number of readings is time- consuming for determining in which class some data could be assigned. To reduce this classification time, system which classifies reading parameters using estimation- maximization algorithm can be introduced, and afterwards using radial basis functions, get measuring results. EM algorithm is used on two generated bivariate distributions to make classification, and RBF interpolation has been made to estimate third dimension of data. Third dimension can represent various measurement results including incomplete data readings, which can be restored using RBF interpolation due RBF reconstruction property. Two sets of Gaussian distribution were used in this paper, classified, and interpolated using radial basis functions for the multivariate interpolation with Euclidean L2 norm.
classification ; estimation-maximization EM algorithm ; radial basis functions
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
961486
2018.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 9th International Congress of Croatian Society of Mechanics
Zagreb: Hrvatsko društvo za mehaniku (HDM)
2623-6133
Podaci o skupu
9th International Congress of Croatian Society of Mechanics (ICCSM 2018)
predavanje
18.09.2018-22.09.2018
Split, Hrvatska