García-Escudero, L.; Gordaliza, A.; Mayo-Iscar, A. - In: Advances in Data Analysis and Classification 8 (2014) 1, pp. 27-43
The high prevalence of spurious solutions and the disturbing effect of outlying observations in mixture modeling are well known problems that pose serious difficulties for non-expert practitioners of this kind of models in different applied areas. An approach which combines the use of Trimmed...