Článek v odborném periodiku

Lecture Notes in Computer Science

2006

640-648

0302-9743

Ing. Jiří Grim, CSc. (ÚTIA - Oddělení rozpoznávání obrazů)

Distribution mixtures with product components have been applied repeatedly to determine clusters in multivariate data. Unfortunately for categorical variables the mixture parameters are not uniquely identifiable and therefore the result of cluster analysis may become questionable. We prove that any non-degenerate discrete product mixture can be equivalently described by infinitely many different parameter sets. A unique result of cluster analysis can be guaranteed by additional constraints.