Record Details

Cluster Analysis of Business Data

Asian Journal of Business and Management

View Archive Info
 
 
Field Value
 
Title Cluster Analysis of Business Data
 
Creator Sousa, Ãurea
Bacelar-Nicolau, Helena
Silva, Osvaldo
 
Subject Cluster Analysis
Affinity Coefficient
VL Methodology
Complex Data
Global Statistics of Levels.
 
Description In this work, classical as well as probabilistic hierarchical clustering models are used to look for typologies of variables in classical data, typologies of groups of individuals in a classical three-way data table, and typologies of groups of individuals in a symbolic data table. The data are issued from a questionnaire on business area in order to evaluate the quality and satisfaction with the services provided to customers by an automobile company. The Ascendant Hierarchical Cluster Analysis (AHCA) is based, respectively, on the basic affinity coefficient and on extensions of this coefficient for the cases of a classical three-way data table and a symbolic data table, obtained from the weighted generalized affinity coefficient. The probabilistic aggregation criteria used, under the probabilistic approach named VL methodology (V for Validity, L for Linkage), resort essentially to probabilistic notions for the definition of the comparative functions. The validation of the obtained partitions is based on the global statistics of levels (STAT). 
 
Publisher Asian Online Journals
 
Date 2014-02-14
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://ajouronline.com/index.php/AJBM/article/view/819
 
Source Asian Journal of Business and Management; Vol. 2 No. 1 (2014): February 2014
2321-2802
 
Language eng
 
Relation https://ajouronline.com/index.php/AJBM/article/view/819/448