Interactive and Progressive Constraint Definition for Dimensionality Reduction and Visualization

被引：0

作者：

Martin, Lionel ^{[1
]}

Exbrayat, Matthieu ^{[1
]}

Cleuziou, Guillaume ^{[1
]}

Moal, Frederic ^{[1
]}

机构：

[1] Univ Orleans, LIFO, F-45067 Orleans, France

来源：

ADVANCES IN KNOWLEDGE DISCOVERY AND MANAGEMENT, VOL 2 | 2012年 / 398卷

关键词：

SELECTION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Projecting and visualizing objects in a two- or tree-dimension space is a standard data analysis task. In addition to this visualization it might be of interest to allow the user to add knowledge in the form of (di)similarity constraints among objects, when those appear either too close or too far in the observation space. In this paper we propose three kinds of constraints and present a resolution method that derives from PCA. Experiments have been performed with both synthetic and usual datasets. They show that a relevant representation can be achieved with a limited set of constraints.

引用

页码：121 / 136

页数：16

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