Abstract
Dynamic increase in development of data analysis techniques that has been strengthened and accompanied by recent advances witnessed during widespread development of information systems that depend upon detailed data analysis, require more sophisticated data analysis procedures and algorithms. In the last decades, deeper insight into data structure has been more many innovative data analysis approaches have been devised in order to make possible.
In the paper, in the Rough Extended Framework, SEM - a new family of the rough entropy based image descriptors has been introduced. The introduced rough entropy based image descriptors are created by means of introduced k-Subspace notion. The Subspace Entropy Maps analysis seems to present potentially robust medium during detailed data analysis. The material has been presented by examples of the introduced solutions as image descriptors.
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Małyszko, D., Stepaniuk, J. (2011). Subspace Entropy Maps for Rough Extended Framework. In: Nguyen, N.T., Kim, CG., Janiak, A. (eds) Intelligent Information and Database Systems. ACIIDS 2011. Lecture Notes in Computer Science(), vol 6592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20042-7_5
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DOI: https://doi.org/10.1007/978-3-642-20042-7_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20041-0
Online ISBN: 978-3-642-20042-7
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