Learning Boolean concepts in the presence of many irrelevant features
Artificial Intelligence
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
An introduction to genetic algorithms
An introduction to genetic algorithms
ACM Computing Surveys (CSUR)
Efficient algorithms for mining outliers from large data sets
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Information Visualization and Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
Guest Editor's Introduction: Visual Data Mining
IEEE Computer Graphics and Applications
Redefining Clustering for High-Dimensional Applications
IEEE Transactions on Knowledge and Data Engineering
Feature Subset Selection and Order Identification for Unsupervised Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
What Is the Nearest Neighbor in High Dimensional Spaces?
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Feature Selection for Clustering
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data
VIS '95 Proceedings of the 6th conference on Visualization '95
Evolutionary model selection in unsupervised learning
Intelligent Data Analysis
Study on collaborative filtering recommendation algorithm based on web user clustering
International Journal of Wireless and Mobile Computing
Clustering based on improved bee colony algorithm
International Journal of Computer Applications in Technology
Study on image retrieval system base on multi-objective and multi-instance learning
International Journal of Wireless and Mobile Computing
An improved multi-objective genetic algorithm for fuzzy flexible job-shop scheduling problem
International Journal of Computer Applications in Technology
Survey of Clustering: Algorithms and Applications
International Journal of Information Retrieval Research
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Usual visualisation techniques for multidimensional datasets, such as parallel coordinates and scatterplot matrices, do not scale well to high numbers of dimensions. A common approach to solve this problem is dimensionality selection. Existing dimensionality selection techniques usually select pertinent dimension subsets that are significant to the user without loose of information. We present concrete cooperation between automatic algorithms, interactive algorithms and visualisation tools: the evolutionary algorithm is used to obtain optimal dimension subsets which represent the original dataset without loosing information for unsupervised mode (clustering or outlier detection). The last effective cooperation is a visualisation tool used to present the user interactive evolutionary algorithm results and let him actively participate in evolutionary algorithm searching with more efficiency resulting in a faster evolutionary algorithm convergence. We have implemented our approach and applied it to real dataset to confirm this approach is effective for supporting the user in the exploration of high dimensional datasets.