Mode Trees for Multivariate Data

被引：4
|
作者：
Klemela, Jussi [1 ]
机构：
[1] Univ Oulu, Dept Math Sci, Oulu 90014, Finland
来源：
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS | 2008年 / 17卷 / 04期
关键词：
Adaptive histograms; Kernel estimators; Mode detection; Mode tree; Nonparametric density estimation;
D O I：
10.1198/106186008X386535
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：
We consider visualizing scales of multivariate density estimates with the help of mode trees. Mode trees visualize the locations of the modes of density estimates, when the smoothing parameter of the estimates ranges over an interval. We define multiframe mode graphs which generalize classical mode trees to the multivariate setting. We give examples of the application Of multiframe mode graphs with kernel estimates and with multivariate adaptive histograms.
引用
收藏
页码：860 / 869
页数：10
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