| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 416141 | Computational Statistics & Data Analysis | 2007 | 14 Pages |
Abstract
A robust cluster procedure for functional data is introduced. It is based on the notion of impartial trimming. Existence and consistency results are obtained. Furthermore, a feasible algorithm is proposed and implemented in a real data example, where patterns of electrical power consumers are observed.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Juan Antonio Cuesta-Albertos, Ricardo Fraiman,