| Download | - View accepted manuscript: Neural Network Based Virtual Reality Spaces for Visual Data Mining of Cancer Data: An Unsupervised Perspective (PDF, 326 KiB)
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| Author | Search for: Romero, E.; Search for: Valdés, Julio; Search for: Barton, Alan |
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| Format | Text, Article |
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| Conference | The 9th International Work-Conference on Artificial Neural Networks (IWANN'2007) (Computational and Ambient Intelligence), June 20-22, 2007, San Sebastián, Spain |
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| Abstract | Three 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. |
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| Publication date | 2007 |
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| In | |
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| Language | English |
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| NRC number | NRCC 49299 |
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| NPARC number | 8914268 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 528b1786-1a7a-47b0-9d02-d7fbf1744e60 |
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| Record created | 2009-04-22 |
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| Record modified | 2020-08-12 |
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