An optimized hybrid kohonen neural network for ambiguity detection in cluster analysis using simulated annealing
One of the popular tools in the exploratory phase of Data mining and Pattern Recognition is the Kohonen Self Organizing Map (SOM). The SOM maps the input space into a 2-dimensional grid and forms clusters. Recently experiments represented that to catch the ambiguity involved in cluster analysis, it...
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| Main Authors: | , |
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| Format: | Book Section |
| Published: |
Springer Verlag
2009
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/12991/ http://dx.doi.org/10.1007/978-3-642-01347-8_33 |
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| Institution: | Universiti Teknologi Malaysia |