Impartial trimmed k-means for functional data

Author:

Cuesta-Albertos Juan Antonio,Fraiman Ricardo

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference14 articles.

1. Medidas de Centralización multidimensionales (ley fuerte de los grandes números);Cuesta-Albertos;Trabajos Estadíst. Investigación Oper.,1984

2. Cuesta-Albertos, J.A., Fraiman, R., 2006. Impartial trimmed means for functional data. In: Liu, R., Serfling, R., Souvaine, D. (Eds.), Data Depth: Robust Multivariate Statistical Analysis, Computational Geometry and Applications. American Mathematical Society in DIMACS Series, Providence, RI, to appear.

3. The strong law of large numbers for k-means and best possible nets of Banach valued random variables;Cuesta-Albertos;Probab. Theory Related Fields,1988

4. Trimmed k-means: an attempt to robustify quantizers;Cuesta-Albertos;Ann. Statist.,1997

5. Optimal grouping, spacings, stratification, and piecewise constant approximation;Eubank;SIAM Rev.,1988

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