Web page clustering using a self-organizing map of user navigation patterns
Decision Support Systems - Special issue: Web data mining
Customer Targeting: A Neural Network Approach Guided by Genetic Algorithms
Management Science
An extended self-organizing map network for market segmentation: a telecommunication example
Decision Support Systems
Expert Systems with Applications: An International Journal
Variable selection in clustering for marketing segmentation using genetic algorithms
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Application of ant K-means on clustering analysis
Computers & Mathematics with Applications
Segmentation of stock trading customers according to potential value
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Temporal analysis of clusters of supermarket customers: conventional versus interval set approach
Information Sciences: an International Journal
UAV navigation by an expert system for contaminant mapping with a genetic algorithm
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Prognosis of prostate cancer by artificial neural networks
Expert Systems with Applications: An International Journal
Apply robust segmentation to the service industry using kernel induced fuzzy clustering techniques
Expert Systems with Applications: An International Journal
Ant clustering algorithm with K-harmonic means clustering
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Self organization of a massive document collection
IEEE Transactions on Neural Networks
Hi-index | 12.05 |
This study proposes a clustering method based on Taguchi method for effective market segmentation. To select appropriate initial seeds, we propose the use of Taguchi method as the tools. This study compares the results of the proposed a Self-Organizing Map (SOM) for application to a real-world case of tea-beverage market segmentation. The results show that the proposed Taguchi method may improve segmentation performance.