Dependency-based feature selection for clustering symbolic data

作者: Luis Talavera

DOI: 10.3233/IDA-2000-4103

关键词: Correlation clusteringPattern recognitionArtificial intelligenceConceptual clusteringFeature learningMachine learningUnsupervised learningComputer scienceSemi-supervised learningCluster analysisCanopy clustering algorithmFeature (computer vision)

摘要: … carried out under the supervised learning paradigm, paying little attention … unsupervised learning problems. By contrast with supervised learning approaches, in unsupervised learning …

参考文章(15)
João José Furtado Vasco, Determining Property Relevance in Concept Formation by Computing Correlation Between Properties european conference on machine learning. pp. 310- 315 ,(1998) , 10.1007/BFB0026701
Gregory Piatetsky-Shapiro, Usama M. Fayyad, Padhraic Smyth, From data mining to knowledge discovery: an overview knowledge discovery and data mining. pp. 1- 34 ,(1996)
Pat Langley, Elements of Machine Learning ,(1995)
Luis Talavera, Feature Selection as a Preprocessing Step for Hierarchical Clustering international conference on machine learning. pp. 389- 397 ,(1999)
A FAMILI, W SHEN, R WEBER, E SIMOUDIS, Data Preprocessing and Intelligent Data Analysis intelligent data analysis. ,vol. 1, pp. 3- 23 ,(1997) , 10.1016/S1088-467X(98)00007-9
Ron Kohavi, George H. John, Wrappers for feature subset selection Artificial Intelligence. ,vol. 97, pp. 273- 324 ,(1997) , 10.1016/S0004-3702(97)00043-X
John R. Anderson, Michael Matessa, Explorations of an Incremental, Bayesian Algorithm for Categorization Machine Learning. ,vol. 9, pp. 275- 308 ,(1992) , 10.1023/A:1022697317482
Avrim L. Blum, Pat Langley, Selection of relevant features and examples in machine learning Artificial Intelligence. ,vol. 97, pp. 245- 271 ,(1997) , 10.1016/S0004-3702(97)00063-5
Douglas H. Fisher, Knowledge acquisition via incremental conceptual clustering Machine Learning. ,vol. 2, pp. 139- 172 ,(1987) , 10.1023/A:1022852608280
Ashwin Ram, Mark Devaney, Efficient Feature Selection in Conceptual Clustering international conference on machine learning. pp. 92- 97 ,(1997)