Neural Network Based Virtual Reality Spaces for Visual Data Mining of Cancer Data: An Unsupervised Perspective

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TypeArticle
ConferenceThe 9th International Work-Conference on Artificial Neural Networks (IWANN'2007) (Computational and Ambient Intelligence), June 20-22, 2007., San Sebastián, Spain
AbstractThree microarray gene expression cancer databases are represented using neural networks and visual data mining with virtual reality spaces. The databases contain data from cancerous and noncancerous tissues. In order to understand the structure of the data, structurepreserving virtual spaces are constructed using Samann neural networks. High quality visual representations are obtained. For the databases under study, the virtual spaces are clearly polarized with two distribution modes, each one corresponding to a different class.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number49299
NPARC number8914268
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Record identifier528b1786-1a7a-47b0-9d02-d7fbf1744e60
Record created2009-04-22
Record modified2016-05-09
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