Cluster analysis using a validated self‐organizing method: cases of problem identification
Shouhong Wang · Intelligent systems in accounting, finance and management/Intelligent systems in accounting, finance & management · 2001
Abstract Kohonen's self‐organizing feature maps (SOFM) are commonly used in cluster analysis for problem solving. However, given a set of sample data, the cluster analysis results obtained by using the standard SOFM method can vary depending on the setting of the parameters of the SOFM. To validate the cluster analysis results, information in addition to the data for the SOFM is required. This paper reports practical cases of cluster analysis using SOFM in conjunction with a measure of validation. In these cases, multivariate data of survey were used to identify problems through validated SOFM cluster analyses. Copyright © 2001 John Wiley & Sons, Ltd.