Binary trees for dissimilarity data

被引:5
作者
Piccarreta, Raffaella [1 ]
机构
[1] Bocconi Univ, Dept Decis Sci, I-20136 Milan, Italy
关键词
Dissimilarity matrix; Classification and regression trees; Binary segmentation; Multivariate responses; Perception data; Ecological data; CLASSIFICATION; SIMILARITY; INDEX;
D O I
10.1016/j.csda.2009.12.011
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Binary segmentation procedures (in particular, classification and regression trees) are extended to study the relation between dissimilarity data and a set of explanatory variables. The proposed split criterion is very flexible, and can be applied to a wide range of data (e.g., mixed types of multiple responses, longitudinal data, sequence data). Also, it can be shown to be an extension of well-established criteria introduced in the literature on binary trees. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:1516 / 1524
页数:9
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