Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
An introduction to variable and feature selection
The Journal of Machine Learning Research
Improving classification of microarray data using prototype-based feature selection
ACM SIGKDD Explorations Newsletter
Metric Incremental Clustering of Nominal Data
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Data Analysis and Graphics Using R: An Example-based Approach (Cambridge Series in Statistical and Probabilistic Mathematics)
Algorithms for Feature Selection: An Evaluation
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
Stable feature selection via dense feature groups
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
A statistical approach for selecting discriminative features of spatial regions of interest
Intelligent Data Analysis
Hybrid feature selection through feature clustering for microarray gene expression data
International Journal of Hybrid Intelligent Systems
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We study an algorithm for feature selection that clusters attributes using a special metric and then makes use of the dendrogram of the resulting cluster hierarchy to choose the most relevant attributes. The main interest of our technique resides in the improved understanding of the structure of the analyzed data and of the relative importance of the attributes for the selection process.