Graph Based Representations of Density Distribution and Distances for Self-Organizing Maps

dc.contributor.author	Tasdemir, K.
dc.date.accessioned	2021-01-25T19:36:16Z
dc.date.available	2021-01-25T19:36:16Z
dc.date.issued	2010
dc.identifier	10.1109/TNN.2010.2040200
dc.identifier.issn	1045-9227
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/8294
dc.description.abstract	The self-organizing map (SOM) is a powerful method for manifold learning because of producing a 2-D spatially ordered quantization of a higher dimensional data space on a rigid lattice and adaptively determining optimal approximation of the (unknown) dens
dc.language.iso	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.title	Graph Based Representations of Density Distribution and Distances for Self-Organizing Maps
dc.type	Article
dc.relation.firstpage	520
dc.relation.lastpage	526
dc.relation.volume	21
dc.relation.issue	3
dc.description.woscategory	Computer Science, Artificial Intelligence; Computer Science, Hardware & Architecture; Computer Science, Theory & Methods; Engineering, Electrical & Electronic
dc.description.wosresearcharea	Computer Science; Engineering
dc.identifier.wosid	WOS:000275040300013

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