Impartial trimmed k-means for functional data

被引：50

作者：

Cuesta-Albertos, Juan Antonio

Fraiman, Ricardo

机构：

[1] Univ San Andres, Dept Matemat & Ciencias, RA-1644 Victoria, Argentina

[2] Univ Republica, Ctr Matemat, Montevideo, Uruguay

来源：

COMPUTATIONAL STATISTICS & DATA ANALYSIS | 2007年 / 51卷 / 10期

关键词：

cluster analysis; functional data; impartial trimming;

D O I：

10.1016/j.csda.2006.07.011

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：4864 / 4877

页数：14

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