A Historical Study on Statistical Packages in Cluster Analysis

  • 발행 : 1998.06.01

초록

Since cluster analysis encompasses many diverse techniques for discovering structure within complex bodies of data, it has been employed as an effective tool in scientific inquiry. Recent works on cluster analysis softwares carried out by SAS, SPSS, S-PLUS and BMDP are briefly summarized and investigated in this paper. The inferred statistical package for windows executing a nay for data analysis in modern statistical techniques has several merits superior to other packages. Especially, S-PLUS can be designed and tried out much faster than other statistical packages. S-PLUS provides a graphic which is interactive, informative, flexible ways of looking at data. Also, if a statistical computation time is long and programs are complex, these can be shorten by providing interfaces to the UNIX systems (or C, Fortran).

키워드

참고문헌

  1. Computer-Aided Multivariate Analysis Abdelmonem. A. Afifi;Virginia Clark
  2. Cluster Analysis Algorithms Helmuth Spath
  3. Multivariate Analysis Kanti V. Mardia;John T. Kent;John M. Bibby
  4. The New S Language Richard A. Becker;John M Chambers;Allan R. Wilks
  5. Applied Multivariate Statistical Analysis Richard A. Johnson;Dean W. Wichern
  6. SAS/STAT User's Guide, Version 6(Fourth Edition) v.1;2 SAS/STAT User's Guide, Version 6(Fourth Edition)
  7. S-PLUS for Windows User's Manual v.1;2