Finding Clusters and Components by Unsupervised Learning

We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classical categories for unsupervised learning methods and models: first, variations of Principal Component Analysis and Factor...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Oja, Erkki
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Blind Source Separation Computer science control theory systems Exact sciences and technology Independent Component Analysis Learning and adaptive systems Neural Computation Statistical Pattern Recognition
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!