Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
ACM Computing Surveys (CSUR)
Methodological and practical aspects of data mining
Information and Management
Integration of self-organizing feature map and K-means algorithm for market segmentation
Computers and Operations Research
Data Mining and Knowledge Discovery in Databases: Implications for Scientific Databases
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
A New Data Clustering Approach for Data Mining in Large Databases
ISPAN '02 Proceedings of the 2002 International Symposium on Parallel Architectures, Algorithms and Networks
K-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Expert Systems with Applications: An International Journal
Modelling spatio-temporal movement of tourists using finite Markov chains
Mathematics and Computers in Simulation
Applying artificial immune system and ant algorithm in air-conditioner market segmentation
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Web Text Classifier
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
A hybrid approach for supplier cluster analysis
Computers & Mathematics with Applications
A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Improving ant colony optimization algorithm for data clustering
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Expert Systems with Applications: An International Journal
Clustering Indian stock market data for portfolio management
Expert Systems with Applications: An International Journal
A time-efficient pattern reduction algorithm for k-means clustering
Information Sciences: an International Journal
Frontiers of Computer Science in China
Analysis of vulnerability assessment results based on CAOS
Applied Soft Computing
Using the Taguchi method for effective market segmentation
Expert Systems with Applications: An International Journal
Integration of particle swarm optimization and genetic algorithm for dynamic clustering
Information Sciences: an International Journal
A modified ant colony system for solving the travelling salesman problem with time windows
Mathematical and Computer Modelling: An International Journal
A novel approach for clustering sentiments in Chinese blogs based on graph similarity
Computers & Mathematics with Applications
A space-based generic pattern for self-initiative load clustering agents
COORDINATION'12 Proceedings of the 14th international conference on Coordination Models and Languages
International Journal of Applied Evolutionary Computation
PREACO: A fast ant colony optimization for codebook generation
Applied Soft Computing
Secured obfuscated queries in spatial networks
International Journal of Wireless and Mobile Computing
| Hi-index | 0.11 |
This paper intends to propose a novel clustering method, ant K-means (AK) algorithm. AK algorithm modifies the K-means as locating the objects in a cluster with the probability, which is updated by the pheromone, while the rule of updating pheromone is according to total within cluster variance (TWCV). The computational results showed that it is better than the other two methods, self-organizing feature map (SOM) followed by K-means method and SOM followed by genetic K-means algorithm via 243 data sets generated by Monte Carlo simulation. To further testify this novel method, the questionnaire survey data for the plasma television market segmentation is employed. The results also indicated that the proposed method is the best among these three methods based on TWCV.