Reference TypeConference Proceedings
Citation KeyInabaSallRaub:2011:KeSaMa
Author1 Inaba, Fernando K.
2 Salles, Evandro O. T.
3 Rauber, Thomas W.
Affiliation1 Departamento de Engenharia Elétrica, Centro Tecnológico, Universidade Federal do Espírito Santo
2 Departamento de Engenharia Elétrica, Centro Tecnológico, Universidade Federal do Espírito Santo
3 Departamento de Informática, Centro Tecnológico, Universidade Federal do Espírito Santo
TitleKernel Sammon Map
Conference NameConference on Graphics, Patterns and Images, 24 (SIBGRAPI)
EditorLewiner, Thomas
Torres, Ricardo
Book TitleProceedings
DateAug. 28 - 31, 2011
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationMaceió
KeywordsSammon map, Hilbert feature space, Kernels, Visualization, Kernel Principal Component Analysis.
AbstractWe extend the visualization technique of highdimensional patterns conceived by Sammon to the case when the patterns have been previously mapped to an implicitly defined Hilbert feature space in which distances can be measured by kernels. The principal benefit of our technique is the possibility to gain insight into the distribution of the patterns, even in this generally non-accessible feature space.
Tertiary TypeFull Paper
FormatDVD, On-line.
Size723 KiB
Number of Files1
Target File86588.pdf
Last Update2011:
Metadata Last Update2020: administrator {D 2011}
Document Stagecompleted
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History2011-07-23 15:36:12 :: -> administrator :: 2011
2020-02-19 02:19:26 :: administrator -> :: 2011
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Access Date2020, Sep. 19