Introduction to the theory of neural computation
Introduction to the theory of neural computation
Data mining with neural networks: solving business problems from application development to decision support
Intelligent decision support methods: the science of knowledge work
Intelligent decision support methods: the science of knowledge work
Generalized part family formation through fuzzy self-organizing feature map neural network
Computers and Industrial Engineering
Intelligent Systems for Finance and Business
Intelligent Systems for Finance and Business
Artificial Neural Networks - Forecasting Time Series
Artificial Neural Networks - Forecasting Time Series
A self-organizing feature map-driven approach to fuzzy approximate reasoning
Expert Systems with Applications: An International Journal
Visualization of machine clustering for a Taiwanese IC packaging foundry
Expert Systems with Applications: An International Journal
Searching customer patterns of mobile service using clustering and quantitative association rule
Expert Systems with Applications: An International Journal
A clustering method to identify representative financial ratios
Information Sciences: an International Journal
A hybrid mining approach for optimizing returns policies in e-retailing
Expert Systems with Applications: An International Journal
Applying artificial immune system and ant algorithm in air-conditioner market segmentation
Expert Systems with Applications: An International Journal
A case study of applying data mining techniques in an outfitter's customer value analysis
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Applying fuzzy neural network to estimate software development effort
Applied Intelligence
Expert Systems with Applications: An International Journal
Application of ant K-means on clustering analysis
Computers & Mathematics with Applications
Clustering the ecological footprint of nations using Kohonen's self-organizing maps
Expert Systems with Applications: An International Journal
Hybrid mining approach in the design of credit scoring models
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
3PRS: a personalized popular program recommendation system for digital TV for P2P social networks
Multimedia Tools and Applications
Expert Systems with Applications: An International Journal
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
A clustering method based on fuzzy equivalence relation for customer relationship management
Expert Systems with Applications: An International Journal
A two-stage clustering approach for multi-region segmentation
Expert Systems with Applications: An International Journal
Applying text and data mining techniques to forecasting the trend of petitions filed to e-People
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
A clustering system for data sequence partitioning
Expert Systems with Applications: An International Journal
Clustering and ranking university majors using data mining and AHP algorithms: A case study in Iran
Expert Systems with Applications: An International Journal
A time-efficient pattern reduction algorithm for k-means clustering
Information Sciences: an International Journal
A data mining framework for detecting subscription fraud in telecommunication
Engineering Applications of Artificial Intelligence
A psycho-cognitive segmentation of organ donors in Egypt using Kohonen's self-organizing maps
Expert Systems with Applications: An International Journal
CPRS: A cloud-based program recommendation system for digital TV platforms
Future Generation Computer Systems
Expert Systems with Applications: An International Journal
Analysis by data mining in the emergency medicine triage database at a Taiwanese regional hospital
Expert Systems with Applications: An International Journal
Development of a soldering quality classifier system using a hybrid data mining approach
Expert Systems with Applications: An International Journal
Segmenting customers by transaction data with concept hierarchy
Expert Systems with Applications: An International Journal
CPRS: a cloud-based program recommendation system for digital TV platforms
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
Expert Systems with Applications: An International Journal
Methodological triangulation using neural networks for business research
Advances in Artificial Neural Systems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Soft clustering -- Fuzzy and rough approaches and their extensions and derivatives
International Journal of Approximate Reasoning
Information Sciences: an International Journal
Review: Soft computing applications in customer segmentation: State-of-art review and critique
Expert Systems with Applications: An International Journal
A cloud-based intelligent TV program recommendation system
Computers and Electrical Engineering
A medical procedure-based patient grouping method for an emergency department
Applied Soft Computing
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Cluster analysis is a common tool for market segmentation. Conventional research usually employs the multivariate analysis procedures. In recent years, due to their high performance in engineering, artificial neural networks have also been applied in the area of management. Thus, this study aims to compare three clustering methods: (1) the conventional two-stage method, (2) the self-organizing feature maps and (3) our proposed two-stage method, via both simulated and real-world data. The proposed two-stage method is a combination of the self-organizing feature maps and the K-means method. The simulation results indicate that the proposed scheme is slightly better than the conventional two-stage method with respect to the rate of misclassification, and the real-world data on the basis of Wilk's Lambda and discriminant analysis.