Exploratory Analysis of Distributional Data Using the Quantile Method

被引：0
|
作者：
Ichino, Manabu [1 ]
机构：
[1] Tokyo Denki Univ, Sch Sci & Engn, Hatoyama, Saitama 3500394, Japan
来源：
APPLIEDMATH | 2024年 / 4卷 / 01期
关键词：
quantile vector; bin rectangle; concept size; compactness; monotone property; LINEAR-REGRESSION MODEL;
D O I：
10.3390/appliedmath4010014
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The quantile method transforms each complex object described by different histogram values to a common number of quantile vectors. This paper retraces the authors' research, including a principal component analysis, unsupervised feature selection using hierarchical conceptual clustering, and lookup table regression model. The purpose is to show that this research is essentially based on the monotone property of quantile vectors and works cooperatively in the exploratory analysis of the given distributional data.
引用
收藏
页码：261 / 288
页数：28
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