Abstract
There is a growing awareness in the scientific community that as methods of analysis become more efficient, a massive data explosion is ensuing. Reducing data to meaningful trends has become a major aspect of research because of the bulk of information involved and because scientific interest is focusing on more and more subtle phenomena. One aid to data reduction and trend detection is pattern recognition, which is a collection of computer-based data manipulation techniques that have proved useful in a number of problems. This paper is intended as an illustrative introduction to these techniques, with the aim of giving the reader an intuitive feel for the process of a real application of the methods. A problem in archaeology, solved by neutron activation analysis, is discussed.
Get full access to this article
View all access options for this article.
