Unsupervised Learning Algorithms

• Corporate Author: SpringerLink (Online service)
• Other Authors: Celebi, M. Emre (Editor), Aydin, Kemal (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Subjects: Engineering.; Computer communication systems.; Data mining.; Artificial intelligence.; Pattern recognition.; Computational intelligence.; Electrical engineering.; Communications Engineering, Networks.; Computational Intelligence.; Computer Communication Networks.; Pattern Recognition.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.

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...

Table of Contents:

• Introduction
• Feature Construction
• Feature Extraction
• Feature Selection
• Association Rule Learning
• Clustering
• Anomaly/Novelty/Outlier Detection
• Evaluation of Unsupervised Learning
• Applications
• Conclusion.