[Forum SIS] Seminario Prof. L.A. Garcia-Escudero

Salvatore Ingrassia s.ingrassia a unict.it
Mer 20 Mar 2013 17:18:51 CET


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                                   AVVISO DI SEMINARIO
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Venerdì 5 aprile 2013, con inizio alle ore 12.00, 
presso l’aula 6 del Dipartimento di  Economia e Impresa 
(Palazzo delle Scienze) si terrà il seminario  dal titolo

     Robust Clustering Methods and Trimming: a Review
                          Prof. Luis Angel Garcia-Escudero 
          
                Departamento de Estadistica e Investigacion Operativa
                            University of Valladolis, Spain 


Abstract:
Unexpected deviations from the assumed hypotheses as well as the 
presence of certain amount of outlying data are common in most practical 
statistical applications. This is also the case in Cluster Analysis where 
those deviations can make the clustering results very unsatisfactory. 
Moreover, these deviations are not easy to be detected due to clear “masking” 
effects. Robust Clustering methods are aimed to diminish (and detect) the effect 
of such deviations. In this talk, we review the progresses made by our research 
group in Valladolid in this field together with others interesting proposals that 
can be found in the literature. Several real data applications will be shown where 
we can see that a trimming approach to Robust Clustering provide sensible 
clustering results. Finally, we will stress the clear connections between Robust 
Multivariate Estimation and Clustering which makes Robust Clustering an 
interesting unifying framework.



I colleghi interessati sono cordialmente invitati a partecipare.

Cordiali saluti,

Salvatore Ingrassia




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Salvatore Ingrassia, Ph.D. 

Professor of Statistics

Department of Economics and Business  

University of Catania                                       

Corso Italia, 55 - 95129 Catania, Italy                                       

 

Tel. +39 095 7537732

Fax +39 095 7537610

e-mail: s.ingrassia at unict.it      

web: www.economia.unict.it/ingrassia

web: Google Scholar

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