Unsupervised learning algorithms. (2016)
- Record Type:
- Book
- Title:
- Unsupervised learning algorithms. (2016)
- Main Title:
- Unsupervised learning algorithms
- Further Information:
- Note: M. Emre Celebi, Kemal Aydin, editors.
- Editors:
- Celebi, M. Emre
Aydin, Kemal - Contents:
- Introduction -- Feature Construction -- Feature Extraction -- Feature Selection -- Association Rule Learning -- Clustering -- Anomaly/Novelty/Outlier Detection -- Evaluation of Unsupervised Learning -- Applications -- Conclusion.
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2016
- Extent:
- 1 online resource (x, 558 pages), illustrations (some color)
- Subjects:
- 006.3/1
Engineering
Machine learning
Computer algorithms
COMPUTERS -- General
Computer algorithms
Machine learning
Engineering
Communications Engineering, Networks
Computational Intelligence
Computer Communication Networks
Pattern Recognition
Artificial Intelligence (incl. Robotics)
Data Mining and Knowledge Discovery
Computers -- Intelligence (AI) & Semantics
Computers -- Hardware -- Network Hardware
Computers -- Computer Vision & Pattern Recognition
Computers -- Database Management -- Data Mining
Artificial intelligence
Network hardware
Pattern recognition
Data mining
Telecommunication
Computer Communication Networks
Optical pattern recognition
Artificial intelligence
Data mining
Technology & Engineering -- Telecommunications
Communications engineering / telecommunications
Electronic books - Languages:
- English
- ISBNs:
- 9783319242118
3319242113 - Related ISBNs:
- 9783319242095
3319242091 - Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed May 5, 2016).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.362493
- Ingest File:
- 01_331.xml