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Rule Classification Visualization of High-Dimensional Data
Type of publication: Inproceedings
Citation: rehm2006ipmu
Booktitle: Proceedings of the International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-06)
Year: 2006
Abstract: This paper presents an approach to visualize high-dimensional fuzzy classification rules and the corresponding classified data set in the plane. This enables the observer to check visually to which degree a fea- ture vector is classified by a certain rule. Also misclassified feature vec- tors can be well spotted and conflicting or error-prone rules can be iden- tified.
Keywords:
Authors Rehm, Frank
Klawonn, Frank
Kruse, Rudolf
Added by: [GR]
Total mark: 0
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  • rehmetalipmu06.pdf
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