摘要
多维标度法是进行数据挖掘常用的方法之一,这种方法将对象之间复杂的关系用相对简单的点距离表示出来,现在广泛应用于心理学、地质学、环境分析和知识结构分析等众多难以取得准确定量资料的领域。文中提出了相异度的概念,并将其作为一种非相似度量应用在经典的托格森多维标度法中。
Multidimensional Scaling is one of the techniques in common use for data mining. This technique can use the comparatively simple distances between points to express the complicated relations between palm of objects. Now it has been widely used in many such fields as psychology, geology, environment analysis and knowledge structure analysis which can hardly get accurate quantitative data. This article puts forward the concept of dissimilarity measurement and applies it in the classical Torgerson multidimensional scaling as a dis.similarity measurement.
出处
《太原大学学报》
2010年第3期129-131,共3页
Journal of Taiyuan University
关键词
多维标度法
相异度
托格森方法
模糊集
multidimensional scaling
dissimilarity measurement
Torgerson method
fuzzy set
