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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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Celebi, M. Emre (Editor), Aydin, Kemal (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2016.
Imprint: Springer,
Edition:1st ed. 2016.
Subjects:
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 Access:Full-text access
Table of Contents:
  • 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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