Abstract
If all pattern points of a certain class form a compact cluster in the pattern space, then this class can often be well represented by the centre of gravity (centroid) of the cluster. The centre of gravity is used as a prototype (template) of that class. An unknown pattern is classified into that class which is associated with the nearest centre of gravity. In other words: the symmetry plane between the two centres of gravity is used as a decision plane (Figure 11).
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© 1980 Springer-Verlag Berlin Heidelberg
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Varmuza, K. (1980). Computation of Binary Classifiers. In: Pattern Recognition in Chemistry. Lecture Notes in Chemistry, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93155-0_2
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DOI: https://doi.org/10.1007/978-3-642-93155-0_2
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