| Costa, J. A. F. and De Andrade Netto, M. L. (2001a). Clustering of complex shaped data sets via kohonen maps and mathematical morphology. In Dasarathy, B. V., editor, Proceedings of SPIE---The International Society for Optical Engineering, volume 4384, pages 16--27. Dept. of Comp. Eng./Indust. Automat., Sch. of Elec. and Comp. Engineering, Universidade Estadual de Campinas. |
....fitness function be a multiple of the logarithm of the support, and took the additional step of removing all members of the population that had zero support in the database. 3. 2 Kohonen Maps Another technique for mining association rules from databases is to use Kohonen (or selforganizing) maps [7]. Kohonen maps are self supervised neural networks that impose a distance metric on the neurons in the map. This metric can be embedded in any n dimensional space that is desired, although 2 dimensional spaces are the most frequently used because of the ease with which they can be navigated. An ....
....neurons form that all tend to fire for similar inputs. These clusters therefore define the classifications that are recognized by the maps, where the center of the cluster is said to define the prototype of the classification. One technique for automatically identifying these clusters is given in [7]. 11 4 Rough Set Theory Rough set theory provides a neat methodology to formalize and calculate the results for data mining problems. In the early 1980s Z. Pawlak, cooperating with other researchers, developed the rough set data analysis (RSDA) 23] As suggested by its main motto let the ....
Jose' Costa and Marcio Netto. Clustering of Complex Shaped Data Sets via Kohonen Maps and Mathematical Morphology. In B. Dasarathy, editor, Proc. of the SPIE, Data Mining and Knowledge Discovery: Theory, Tools, and Technology, volume 4384, 2001.
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Costa, J. A. F. and De Andrade Netto, M. L. (2001a). Clustering of complex shaped data sets via kohonen maps and mathematical morphology. In Dasarathy, B. V., editor, Proceedings of SPIE---The International Society for Optical Engineering, volume 4384, pages 16--27. Dept. of Comp. Eng./Indust. Automat., Sch. of Elec. and Comp. Engineering, Universidade Estadual de Campinas.
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