Reference : The influence function of the TCLUST robust clustering procedure
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Mathematics
http://hdl.handle.net/2268/92958
The influence function of the TCLUST robust clustering procedure
English
Ruwet, Christel mailto [Université de Liège - ULg > Département de mathématique > Statistique mathématique >]
García-Escudero, Luis Angel mailto [Universidad deValladolid - UVa > > > >]
Gordaliza, Alfonso mailto [Universidad deValladolid - UVa > > > >]
Mayo-Iscar, Agustin mailto [Universidad deValladolid - UVa > > > >]
2012
Advances in Data Analysis and Classification [=ADAC]
6
2
107-130
Yes (verified by ORBi)
International
1862-5347
1862-5355
[en] Heterogeneous Clustering ; Influence function ; Robustness ; Trimmin
[en] The TCLUST procedure performs robust
clustering with the aim of finding clusters with different scatter
structures and proportions. An Eigenvalue Ratio constraint is considered by TCLUST in order to avoid finding spurious clusters. In order to guarantee the robustness of the method against the presence
of outliers and background noise, the method allows for trimming of a
given proportion of observations self determined by the data.
This article studies robustness properties of the TCLUST procedure
by means of the influence function, obtaining a robustness behavior
close to that of the trimmed k-means.
Spanish Ministerio de Ciencia e Innovación ; Communauté française de Belgique - CfB
http://hdl.handle.net/2268/92958
10.1007/s11634-012-0107-1
The original publication is available at www.springerlink.com

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