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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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Celebi, M. Emre (Editör), Aydin, Kemal (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2016.
Imprint: Springer,
Edisyon:1st ed. 2016.
Konular:
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.
Online Erişim:Full-text access
İçindekiler:
  • 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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