Expert Systems with Applications: An International Journal
Clustering of document collection - A weighting approach
Expert Systems with Applications: An International Journal
Hybrid differential evolution based on fuzzy C-means clustering
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Performance evaluation of density-based clustering methods
Information Sciences: an International Journal
Differential evolution using a neighborhood-based mutation operator
IEEE Transactions on Evolutionary Computation
A survey of evolutionary algorithms for clustering
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Dialectical non-supervised image classification
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Automatic clustering with multi-objective differential evolution algorithms
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
Dynamic clustering of interval-valued data based on adaptive quadratic distances
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A hybrid PSO-DV based intelligent method for fault diagnosis of gear-box
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Adaptive strategy selection in differential evolution
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Evolutionary clustering based vector quantization and SPIHT coding for image compression
Pattern Recognition Letters
Integrating clustering and supervised learning for categorical data analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A clustering-based differential evolution for global optimization
Applied Soft Computing
Hybrid differential evolution for global numerical optimization
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Evolving artificial neural networks using adaptive differential evolution
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Computers and Industrial Engineering
Scalable local density-based distributed clustering
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A clustering method combining differential evolution with the K-means algorithm
Pattern Recognition Letters
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Immunodomaince based Clonal Selection Clustering Algorithm
Applied Soft Computing
Expert Systems with Applications: An International Journal
Improved differential evolution for microarray analysis
International Journal of Data Mining and Bioinformatics
Differential evolution with modified mutation strategy for solving global optimization problems
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
Differential evolution algorithm for motion estimation
MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
Gene transposon based clone selection algorithm for automatic clustering
Information Sciences: an International Journal
Improving differential evolution algorithm by synergizing different improvement mechanisms
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Differential evolution with competing strategies applied to partitional clustering
SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
Black hole: A new heuristic optimization approach for data clustering
Information Sciences: an International Journal
Adaptive population tuning scheme for differential evolution
Information Sciences: an International Journal
Differential Evolution for automatic rule extraction from medical databases
Applied Soft Computing
Volterra kernel based face recognition using artificial bee colonyoptimization
Engineering Applications of Artificial Intelligence
Optimized bi-dimensional data projection for clustering visualization
Information Sciences: an International Journal
Co-Evolutionary Algorithms Based on Mixed Strategy
Journal of Information Technology Research
Expert Systems with Applications: An International Journal
Accelerated biogeography-based optimization with neighborhood search for optimization
Applied Soft Computing
A powerful hybrid clustering method based on modified stem cells and Fuzzy C-means algorithms
Engineering Applications of Artificial Intelligence
Improvements to the quantum evolutionary clustering
International Journal of Data Analysis Techniques and Strategies
Understanding evolving group structures in time-varying networks
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Wireless Personal Communications: An International Journal
International Journal of Data Mining and Bioinformatics
Repairing the crossover rate in adaptive differential evolution
Applied Soft Computing
Engineering Applications of Artificial Intelligence
An automatic method for construction of ensembles to time series prediction
International Journal of Hybrid Intelligent Systems
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Differential evolution (DE) has emerged as one of the fast, robust, and efficient global search heuristics of current interest. This paper describes an application of DE to the automatic clustering of large unlabeled data sets. In contrast to most of the existing clustering techniques, the proposed algorithm requires no prior knowledge of the data to be classified. Rather, it determines the optimal number of partitions of the data "on the run." Superiority of the new method is demonstrated by comparing it with two recently developed partitional clustering techniques and one popular hierarchical clustering algorithm. The partitional clustering algorithms are based on two powerful well-known optimization algorithms, namely the genetic algorithm and the particle swarm optimization. An interesting real-world application of the proposed method to automatic segmentation of images is also reported.