k-means: a new generalized k-means clustering algorithm
Pattern Recognition Letters
The Delphi method as a research tool: an example, design considerations and applications
Information and Management
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
An extended self-organizing map network for market segmentation: a telecommunication example
Decision Support Systems
Market segmentation based on hierarchical self-organizing map for markets of multimedia on demand
Expert Systems with Applications: An International Journal
Computational Statistics & Data Analysis
A Triangulation Method for the Sequential Mapping of Points from N-Space to Two-Space
IEEE Transactions on Computers
A recommender system using GA K-means clustering in an online shopping market
Expert Systems with Applications: An International Journal
Using fuzzy clustering methods for delineating urban housing submarkets
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Expert Systems with Applications: An International Journal
Bankruptcy trajectory analysis on french companies using self-organizing map
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Using the Taguchi method for effective market segmentation
Expert Systems with Applications: An International Journal
A case study of applying LRFM model in market segmentation of a children's dental clinic
Expert Systems with Applications: An International Journal
Geographic knowledge discovery from Web Map segmentation through generalized Voronoi diagrams
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Clustering and visualization of bankruptcy trajectory using self-organizing map
Expert Systems with Applications: An International Journal
| Hi-index | 12.06 |
A common problem for marketing strategists is how to appropriately segment the market and select segment-specific marketing strategies. This paper presents a novel approach which integrates Fuzzy Delphi method, self-organizing maps (SOM) and a visualization technique to cluster customers according to their various characteristic variables and visualize segments by producing colorful market maps. These market maps not only help the managers to see fully visualized clusters of market but also reveal mutual non-linear correlations between different customers' characteristic variables. In this research we studied ADSL service market of an Iranian Telecommunication Company. SOM algorithm and visualizing technique were implemented in MATLAB environment to produce market maps of data set.