A METHOD OF SCALING FOR A MIXED SET OF DISCRETE AND CONTINUOUS VARIABLES

被引:7
作者
TALKINGTON, L
机构
来源
SYSTEMATIC ZOOLOGY | 1967年 / 16卷 / 02期
关键词
D O I
10.2307/2411407
中图分类号
Q95 [动物学];
学科分类号
071002 ;
摘要
A method of equalized scaling is proposed for taxonomic or classificatory systems, designed so that problems involving a mixed set of variables (some quantitative and others multistate qualitative) can be handled automatically and so that variables of neither class will unduly dominate the classifying process. The method is formulated in terms of Euclidean distance in n-dimensional space but is easily adapted to a system using similarity coefficients. Other advantages of the method are discussed.
引用
收藏
页码:149 / +
页数:1
相关论文
共 7 条
[1]   ON SOME CLUSTERING TECHNIQUES [J].
BONNER, RE .
IBM JOURNAL OF RESEARCH AND DEVELOPMENT, 1964, 8 (01) :22-&
[2]  
CONGER JJ, 1960, EDUC PSYCHOL MEAS, V20, P651
[3]  
ROHLF FJ, 1963, IBM S STATISTICS
[4]  
RUBIN J, 1965, OPTIMAL TAXONOMY PRO
[5]  
RUBIN JERROLD, 1966, SYST ZOOL, V15, P169, DOI 10.2307/2411388
[6]  
Sneath P., 1963, Principles of Numerical taxonomy
[7]   DISTANCE AS A MEASURE OF TAXONOMIC SIMILARITY [J].
SOKAL, RR .
SYSTEMATIC ZOOLOGY, 1961, 10 (02) :70-79