Unsupervised Learning Algorithms

This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Celebi, M. Emre (Editor ), Aydin, Kemal (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Temas:
Telecommunication.
Computational intelligence.
Computer networks .
Pattern recognition systems.
Artificial intelligence.
Data mining.
Communications Engineering, Networks.
Computational Intelligence.
Computer Communication Networks.
Automated Pattern Recognition.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Feature Construction
  • Feature Extraction
  • Feature Selection
  • Association Rule Learning
  • Clustering
  • Anomaly/Novelty/Outlier Detection
  • Evaluation of Unsupervised Learning
  • Applications
  • Conclusion.

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