Antory, David, Kruger, Uwe and Littler, Tim (2006) A New Principal Curve Algorithm for Nonlinear Principal Component Analysis INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING, ICIC 2006, PART I. In: International Conference on Intelligent Computing (ICIC), Kunming, PEOPLES R CHINA, AUG 16-19, 2006. Published in: INTELLIGENT COMPUTING, PART I, 4113 pp. 1235-1246.

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Abstract

This paper summarizes a new concept to determine principal curves for nonlinear principal component analysis (PCA). The concept is explained within the framework of the Hastie and Stuetzle algorithm and utilizes spline functions. The paper proposes a new algorithm and shows that it provides an efficient method to extract underlying information from measured data. The new method is geometrically simple and computationally expedient, as the number of unknown parameters increases linearly with the analyzed variable set. The utility of the algorithm is exemplified in two examples.

Item Type:	Conference Item (UNSPECIFIED)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Series Name:	Lecture Notes in Computer Science
Journal or Publication Title:	INTELLIGENT COMPUTING, PART I
Publisher:	SPRINGER-VERLAG BERLIN
ISBN:	978-3-540-37271-4
ISSN:	0302-9743
Editor:	Huang, DS and Li, K and Irwin, GW
Date:	2006
Volume:	4113
Number of Pages:	12
Page Range:	pp. 1235-1246
Identification Number:	10.1007/11816157_155
Publication Status:	Published
Title of Event:	International Conference on Intelligent Computing (ICIC)
Location of Event:	Kunming, PEOPLES R CHINA
Date(s) of Event:	AUG 16-19, 2006
URI:	http://wrap.warwick.ac.uk/id/eprint/5727

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