Abstract
Our problem may be stated as follows: a digital computer receives map data for several classes of heart diseases and has to decide for a new case into which class this case should be filed. This is a well-known problem and solved in general for pattern classification: A map is described by a finite number n of variables, called features. A particular map is considered as a point in an n-dimensional pattern space encompassing the region in which patterns can occur. Sets of patterns are classified to pattern classes. Then the problem is to classify a set of unknown maps into one of the known classes.
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References
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© 1982 Plenum Press, New York
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Schoffa, G. (1982). Methods for Automatic Classification in Body Surface Mapping. In: Schubert, E. (eds) Models and Measurements of the Cardiac Electric Field. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-4244-1_24
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DOI: https://doi.org/10.1007/978-1-4684-4244-1_24
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4684-4246-5
Online ISBN: 978-1-4684-4244-1
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