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https://hdl.handle.net/20.500.14279/4083
Title: | Clustering Microarray Data with Space Filling Curves | Authors: | Vogiatzis, Dimitrios Tsapatsoulis, Nicolas |
metadata.dc.contributor.other: | Τσαπατσούλης, Νικόλας | Keywords: | Clustering;Space filling curve;Wavelets;Microarray DNA | Issue Date: | 2007 | Source: | Applications of Fuzzy Sets Theory, pp.529-536 | Series/Report no.: | Lecture Notes in Computer Science; | Abstract: | We introduce a new clustering method for DNA microarray data that is based on space filling curves and wavelet denoising. The proposed method is much faster than the established fuzzy c-means clustering because clustering occurs in one dimension and it clusters cells that contain data, instead of data themselves. Moreover, preliminary evaluation results on data sets from Small Round Blue-Cell tumors, Leukemia and Lung cancer microarray experiments show that it can be equally or more accurate than fuzzy c-means clustering or a gaussian mixture model. | Description: | 7th International Workshop on Fuzzy Logic and Applications, WILF 2007, Camogli, Italy, July 7-10, 2007. Proceedings | URI: | https://hdl.handle.net/20.500.14279/4083 | ISBN: | 9783540733997 | DOI: | 10.1007/978-3-540-73400-0 | Rights: | © Springer | Type: | Book Chapter | Affiliation : | Cyprus University of Technology |
Appears in Collections: | Κεφάλαια βιβλίων/Book chapters |
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Tsapatsoulis_Clustering Microarray Data.pdf | 161.45 kB | Adobe PDF | View/Open |
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