Unsupervised feature selection using feature similarity

作者: P. Mitra , C.A. Murthy , S.K. Pal

DOI: 10.1109/34.990133

关键词: Feature extractionData miningInformation compressionMinimum redundancy feature selectionDimensionality reductionFeature selectionEntropy (information theory)Similarity measureArtificial intelligencePattern recognitionMathematicsComputational complexity theory

摘要: … the computational time of feature selection include probabilistic … the article lies with unsupervised feature selection, we discuss … These include sequential unsupervised feature …

参考文章(21)
Manoranjan Dash, Huan Liu, Feature Selection for Clustering pacific asia conference on knowledge discovery and data mining. pp. 110- 121 ,(2000) , 10.1007/3-540-45571-X_13
Andrew W. Moore, Mary S. Lee, Efficient Algorithms for Minimizing Cross Validation Error Machine Learning Proceedings 1994. pp. 190- 198 ,(1994) , 10.1016/B978-1-55860-335-6.50031-3
David W. Aha, Richard L. Bankert, A Comparative Evaluation of Sequential Feature Selection Algorithms Learning from Data. pp. 199- 206 ,(1996) , 10.1007/978-1-4612-2404-4_19
Mark Andrew Hall, Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning international conference on machine learning. pp. 359- 366 ,(2000)
Carla E. Brodley, Jennifer G. Dy, Feature Subset Selection and Order Identification for Unsupervised Learning international conference on machine learning. pp. 247- 254 ,(2000)
Kenji Kira, Larry A. Rendell, A Practical Approach to Feature Selection international conference on machine learning. pp. 249- 256 ,(1992) , 10.1016/B978-1-55860-247-2.50037-1
Igor Kononenko, Estimating attributes: analysis and extensions of RELIEF european conference on machine learning. pp. 171- 182 ,(1994) , 10.1007/3-540-57868-4_57
Mehran Sahami, Daphne Koller, Toward optimal feature selection international conference on machine learning. pp. 284- 292 ,(1996)
P. Pudil, J. Novovičová, J. Kittler, Floating search methods in feature selection Pattern Recognition Letters. ,vol. 15, pp. 1119- 1125 ,(1994) , 10.1016/0167-8655(94)90127-9