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Supervised and Unsupervised Ensemble Methods and Their Applications|Oleg Okun

Supervised and Unsupervised Ensemble Methods and Their Applications

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Overview

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.

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Details

  • ISBN-13: 9783642097768
  • ISBN-10: 3642097766
  • Publisher: Springer
  • Publish Date: October 2010
  • Dimensions: 9.21 x 6.14 x 0.42 inches
  • Shipping Weight: 0.62 pounds
  • Page Count: 182

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