Abstract
In this paper, we propose a novel wavelet transform based on the polar coordinates for datamining applications. In general, the Harr wavelet transform has been popularly used for data decomposition. However, the Harr wavelet transform shows the poor performance for the locally distributed data which are clustered around certain values, since it uses the averages as representatives for data decomposition. The proposed wavelet transform is based on the the polar coordinates which is not affected by the averages and is more suitable than the Harr wavelet transform for data decomposition of the locally distributed data.
This work was supported in part by the Brain Korea 21 Project and in part by the Ministry of Information and Communications, Korea, under the Information Technology Research Center (ITRC) Support Program in 2005.
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© 2005 Springer-Verlag Berlin Heidelberg
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Kang, S., Lee, S., Lee, S. (2005). A Novel Wavelet Transform Based on Polar Coordinates for Datamining Applications. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11540007_149
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DOI: https://doi.org/10.1007/11540007_149
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28331-7
Online ISBN: 978-3-540-31828-6
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