Title :
Algorithm of nested clustering for unsupervised learning
Author :
Albus, J. ; Lacaze, A. ; Meystel, A.
Author_Institution :
Intelligent Syst. Div., US Dept. of Commerce, Boulder, CO, USA
Abstract :
Autonomous learning in the architectures of intelligent control requires special procedures performed upon acquired knowledge. This affects the structure of world representation and it is intimately linked with mechanisms of behavior generation. This paper illuminates algorithms of autonomous learning performed via nested clustering which is goal driven and exercises simulation of decision making process
Keywords :
intelligent control; pattern recognition; unsupervised learning; autonomous learning; behavior generation; intelligent control; nested clustering; unsupervised learning; Clustering algorithms; Control systems; Decision making; Intelligent robots; Intelligent systems; Learning systems; Machine learning; NIST; US Department of Commerce; Unsupervised learning;
Conference_Titel :
Intelligent Control, 1995., Proceedings of the 1995 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-2722-5
DOI :
10.1109/ISIC.1995.525059
