Multiple Factorial Analysis of Symbolic Data

• 作者: Barnabé Tang Ahanda Gilbert Hapi Mbiakop Jean Gérard Aghoukeng Jiofack Romain Germain Nzangué
• 来源期刊: 应用数学(英文)
• 学科: 医学
• 关键词: SYMBOLIC OBJECT ASSERTION OBJECT MULTIPLE FACTORIAL ANALYSIS Principle Components ANALYSIS Poverty
• 年，卷（期）: yysxyw_2012,（12）
• 页码范围: 2148-2154
• 页数: 7页
• 分类号: R73

摘要

This document presents an extension of the multiple factorial analysis to symbolic data and especially to space data. The analysis makes use of the characteristic coding method to obtain active individuals and the reconstitutive coding method for additional individuals in order to conserve the variability of assertion objects. Traditional analysis methods of the main components are applied to coded objects. Certain interpretation aids are presented after the coding process. This method was applied to poverty data.