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13

APIN
2004

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Rough Self Organizing Map

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Rough Self Organizing Map

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A rough self-organizing map (RSOM) with fuzzy discretization of feature space is described here. Discernibility reducts obtained using rough set theory are used to extract domain knowledge in an unsupervised framework. Reducts are then used to determine the initial weights of the network, which are further refined using competitive learning. Superiority of this network in terms of quality of clusters, learning time and representation of data is demonstrated quantitatively through experiments over the conventional SOM.

Sankar K. Pal, Biswarup Dasgupta, Pabitra Mitra

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APIN 2004 | Fuzzy Discretization | Rough Self-organizing Map | Rough Set Theory |

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Added	16 Dec 2010
Updated	16 Dec 2010
Type	Journal
Year	2004
Where	APIN
Authors	Sankar K. Pal, Biswarup Dasgupta, Pabitra Mitra

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