Displaying a clustering with CLUSPLOT

被引：74

作者：

Pison, G ^{[1
]}

Struyf, A ^{[1
]}

Rousseeuw, PJ ^{[1
]}

机构：

[1] UIA, Dept Math & Comp Sci, B-2610 Antwerp, Belgium

来源：

COMPUTATIONAL STATISTICS & DATA ANALYSIS | 1999年 / 30卷 / 04期

关键词：

cluster analysis; discriminant analysis; multidimensional scaling; principal components; statistical software;

D O I：

10.1016/S0167-9473(98)00102-9

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In a bivariate data set it is easy to represent clusters, e.g. by manually circling them or separating them by lines. But many data sets have more than two variables, or they come in the form of inter-object dissimilarities. There exist methods to partition such a data set into clusters, but the resulting partition is not visual by itself. In this paper we construct a new graphical display called CLUSPLOT, in which the objects are represented as points in a bivariate plot and the clusters as ellipses of various sizes and shapes. The algorithm is implemented as an S-PLUS function. Several options are available, e.g. labelling of objects and clusters, drawing lines connecting clusters, and the use of color. We illustrate this new tool with several examples. (C) 1999 Elsevier Science B.V. All rights reserved.

引用

页码：381 / 392

页数：12

共 16 条

[1] DEVELOPMENT AND CONSTRUCT-VALIDATION OF A SET OF STUDENT RATING-OF-INSTRUCTION ITEMS [J].