Ensembles of Clustering Methods and Their Applications.- Cluster Ensemble Methods: from Single Clusterings to Combined Solutions.- Random Subspace Ensembles for Clustering Categorical Data.- Ensemble Clustering with a Fuzzy Approach.- Collaborative Multi-Strategical Clustering for Object-Oriented Image Analysis.- Ensembles of Classification Methods and Their Applications.- Intrusion Detection in Computer Systems Using Multiple Classifier Systems.- Ensembles of Nearest Neighbors for Gene Expression Based Cancer Classification.- Multivariate Time Series Classification via Stacking of Univariate Classifiers.- Gradient Boosting GARCH and Neural Networks for Time Series Prediction.- Cascading with VDM and Binary Decision Trees for Nominal Data.- Erratum.
Inhaltsverzeichnis
Ensembles of Clustering Methods and Their Applications. - Cluster Ensemble Methods: from Single Clusterings to Combined Solutions. - Random Subspace Ensembles for Clustering Categorical Data. - Ensemble Clustering with a Fuzzy Approach. - Collaborative Multi-Strategical Clustering for Object-Oriented Image Analysis. - Ensembles of Classification Methods and Their Applications. - Intrusion Detection in Computer Systems Using Multiple Classifier Systems. - Ensembles of Nearest Neighbors for Gene Expression Based Cancer Classification. - Multivariate Time Series Classification via Stacking of Univariate Classifiers. - Gradient Boosting GARCH and Neural Networks for Time Series Prediction. - Cascading with VDM and Binary Decision Trees for Nominal Data. - Erratum.
