Invariance to scaling in formal concept analysis of data tables with fuzzy attributes

被引：0
|
作者：
Belohlávek, R [1 ]
机构：
[1] Palacky Univ, Dept Comp Sci, CZ-77900 Olomouc, Czech Republic
来源：
PROCEEDINGS OF THE 8TH JOINT CONFERENCE ON INFORMATION SCIENCES, VOLS 1-3 | 2005年
关键词：
formal concept analysis; fuzzy attribute; concept lattice; invariance to scaling;
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：
Filling a data table with fuzzy attributes (scaling) is subjective. What properties of scaling are important if we want to know whether two data tables filled by two experts lead to (almost) the same collections of extracted clusters in the sense of formal concept analysis? The paper provides two answers.
引用
收藏
页码：86 / 89
页数：4
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