A Topology Preserving Mapping
A topographic mapping (or topology preserving mapping) is a transformation which captures some structure in the data so that points which are mapped close to one another share some common feature while points which are mapped far from one another do not share this feature. The Self-organizing Map (SOM) [137, 138] was introduced as a data quantisation method but has found at least as much use as a visualisation tool.
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© 2009 Springer-Verlag Berlin Heidelberg
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Barbakh, W.A., Wu, Y., Fyfe, C. (2009). Topographic Mappings and Kernel Clustering. In: Non-Standard Parameter Adaptation for Exploratory Data Analysis. Studies in Computational Intelligence, vol 249. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04005-4_5
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DOI: https://doi.org/10.1007/978-3-642-04005-4_5
Publisher Name: Springer, Berlin, Heidelberg
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