Selection of Variables for Cluster Analysis and Classification Rules

被引：46

作者：

Fraiman, Ricardo ^{[1
,2
]}

Justel, Ana ^{[3
]}

Svarc, Marcela ^{[1
]}

机构：

[1] Univ San Andres, Buenos Aires, DF, Argentina

[2] Univ Republica, Ctr Matemat, Montevideo, Uruguay

[3] Univ Autonoma Madrid, Madrid, Spain

来源：

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | 2008年 / 103卷 / 483期

关键词：

Finding relevant variables; Forward-backward algorithm; Pattern recognition;

D O I：

10.1198/016214508000000544

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In this article we introduce two procedures for variable selection in cluster analysis and classification rules. One is mainly aimed at detecting the ''noisy'' noninformative variables, while the other also deals with multicolinearity and general dependence. Both methods are designed to be used after a ''satisfactory'' grouping procedure has been carried out. A forward-backward algorithm is proposed to make such procedures feasible in large datasets. A small simulation is performed and some real data examples are analyzed.

引用

页码：1294 / 1303

页数：10

共 50 条

[1] WEIGHTING AND SELECTION OF VARIABLES FOR CLUSTER-ANALYSIS
GNANADESIKAN, R
KETTENRING, JR
TSAO, SL
JOURNAL OF CLASSIFICATION, 1995, 12 (01) : 113 - 136
[2] SELECTION OF CLUSTER DEFINING VARIABLES
SAMPSON, P
JOURNAL OF THE MARKET RESEARCH SOCIETY, 1974, 16 (04): : 303 - 304
[3] Selection of variables in cluster analysis: An empirical comparison of eight procedures
Steinley, Douglas
Brusco, Michael J.
PSYCHOMETRIKA, 2008, 73 (01) : 125 - 144
[4] Selection of Variables in Cluster Analysis: An Empirical Comparison of Eight Procedures
Douglas Steinley
Michael J. Brusco
Psychometrika, 2008, 73 : 125 - 144
[5] Cluster analysis for the selection of potential discriminatory variables and the identification of subgroups in archaeometry
Lopez-Garcia, Pedro A.
Argote, Denisse L.
JOURNAL OF ARCHAEOLOGICAL SCIENCE-REPORTS, 2023, 49
[6] Selection of binary variables and classification by boosting
Park, Junyong
Wilbur, Jayson D.
Ghosh, Jayanta K.
Nakatsu, Cindy H.
Ackerman, Corinne
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2007, 36 (04) : 855 - 869
[7] The efficiency of the rules' classification based on the cluster analysis method and Salton's method
Nowak, A
Wakulicz-Deja, A
Monitoring, Security, and Rescue Techniques in Multiagent Systems, 2005, : 333 - 338
[8] Joint motion pattern classification by cluster analysis of kinematic, demographic, and subjective variables
Hwang, Jaejin
Shin, Hyunjung
Jung, Myung-Chul
APPLIED ERGONOMICS, 2013, 44 (04) : 636 - 642
[9] Additives rules: The classification and selection of additives for coatings
Graystone, J
ADDITIVES IN WATER-BORNE COATINGS, 2003, : 35 - 45
[10] Selection by cluster analysis
Dogan, I
TURKISH JOURNAL OF VETERINARY & ANIMAL SCIENCES, 2002, 26 (01): : 47 - 53

← 1 2 3 4 5 →