Abstract
We propose an approach to the determination of class borders on a SOM with non-equal class distributions. Our approach treats the class distribution as a variance-covariance matrix. The class distribution is expressed by a variance-covariance matrix and its decision border between the classes is determined from input data by using the eigenvalues and the corresponding eigenvectors of the matrices. Using the iris dataset of Fisher, it is shown that our approach allows the effect of non-equal class distributions on the decision borders to be successfully visualized in a qualitative and comprehensible manner.
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Matsuda, N., Tokutaka, H. (2011). Decision of Class Borders on a Spherical SOM with Non-equal Class Distributions. In: Laaksonen, J., Honkela, T. (eds) Advances in Self-Organizing Maps. WSOM 2011. Lecture Notes in Computer Science, vol 6731. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21566-7_33
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DOI: https://doi.org/10.1007/978-3-642-21566-7_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21565-0
Online ISBN: 978-3-642-21566-7
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