Measuring dissimilarity between curves by means of their granulometric size distributions

被引：3

作者：

Ayala, Guillermo ^{[1
]}

Gaston, Martin ^{[2
]}

Leon, Teresa ^{[1
]}

Mallor, Fermin ^{[2
]}

机构：

[1] Univ Valencia, Dept Estadist & IO, Avda Vicent Andres Estelles 1, E-46100 Burjassot, Spain

[2] Univ Publ Navarra, Dept Estadist & IO, Pamplona 31006, Spain

来源：

FUNCTIONAL AND OPERATORIAL STATISTICS | 2008年

关键词：

D O I：

10.1007/978-3-7908-2062-1_6

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The choice of a dissimilarity measure between curves is a key point for clustering functional data. In this paper we propose to obtain the granulometric distribution functions of the original curves and then calculate the dissimilarities between the new functional data. Good results have been obtained with two real examples.

引用

页码：35 / +

页数：3

共 14 条

[1] Spatial size distributions: Applications to shape and texture analysis [J].