Title :
Different Variants of Normalized EM Algorithm for Gene Expression Data
Author :
Bouberima, W. Parr ; Bencheikh, Y. Khemal ; Nadif, Mohamed
Author_Institution :
Dept. of Math., Ferhat Abbas Univ., Setif, Algeria
fDate :
Aug. 29 2011-Sept. 2 2011
Abstract :
The actual clustering methods of directional data are commonly performed in considering data belonging to the unit radius sphere. In certain situations, assuming that the radius equal to one is not appropriated. In this work we propose to estimate it to be greater than one. We then suggest to apply a normalized EM algorithm and derive different variants. This procedure has shown an important influence on the clustering results of gene expression data.
Keywords :
data handling; pattern clustering; directional data clustering method; gene expression data; normalized EM algorithm; unit radius sphere; Algorithm design and analysis; Clustering algorithms; Data models; Gene expression; Maximum likelihood estimation; Partitioning algorithms; clustering; exponential distributions; mixture models; normalized EM; von Mises-Fisher distribution;
Conference_Titel :
Database and Expert Systems Applications (DEXA), 2011 22nd International Workshop on
Conference_Location :
Toulouse
Print_ISBN :
978-1-4577-0982-1
DOI :
10.1109/DEXA.2011.26
