A clustering algorithm for ipsative variables

The aim of this study is to introduce a new clustering method for ipsative variables. This method can be used for nominal or ordinal variables for which responses must be mutually exclusive, and it is independent of data distribution. The proposed method is applied to outline motivational profiles f...

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Autores:: Rubiano -Moreno, Jessica
Alonso -Malaver, Carlos
Nucamendi -Guillén, Samuel
López- Hernández, Carlos

Tipo de recurso:: Article of investigation

Fecha de publicación:: 2019

Institución:: Universidad de Ciencias Aplicadas y Ambientales U.D.C.A

Repositorio:: Repositorio Institucional UDCA

Idioma:: eng