Investigating the Quality of Different Self-Organizing Map Topologies for Complex Data
Self-Organizing Maps (SOM) are useful tools for visualizing high dimensional data. However, conventional SOM suffer from the border effect. Therefore, Spherical Self-Organizing Maps (SSOM) have been developed to remove such negative effects. In this paper, we extend the topology of SSOM by reconstructing the neighbors to propose the concept of Concentric Spherical Self-Organizing Maps (CSSOM). The major improvement of CSSOM is that it allows using an arbitrary number of spheres and such a...[Show more]
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|Source:||LINDI 2012 - 4th IEEE International Symposium on Logistics and Industrial Informatics, Proceedings|
|01_Wu_Investigating_the_Quality_of_2012.pdf||601.99 kB||Adobe PDF||Request a copy|
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