1990 年 18 巻 1 号 p. 65-80
An interactive method of multivariate data analysis is proposed. With this method we can use effectively our prior knowledge about the data to perform clustering. The knowledge about objects and variables is represented by frame structure. A simplified algorithm of conceptual clustering and an effective method of graphical representation are adopted to support analysis. Using these features, data analysts can find the intrinsic structure of data easily.