Please use this identifier to cite or link to this item:
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 |
Files in This Item:
File | Description | Size | Format | |
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Tsapatsoulis_Clustering Microarray Data.pdf | 161.45 kB | Adobe PDF | View/Open |
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