Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/173
Title: Clustering Microarray Data with Space Filling Curves
Authors: Vogiatzis, Dimitrios 
Tsapatsoulis, Nicolas 
Keywords: Clustering
Space filling curve
Wavelets
Microarray DNA
Issue Date: 2007
Publisher: Springer Berlin / Heidelberg
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: http://ktisis.cut.ac.cy/handle/10488/173
ISBN: 9783540733997
DOI: 10.1007/978-3-540-73400-0
Rights: © Springer
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

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