DocumentCode
2024909
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
fYear
2011
fDate
Aug. 29 2011-Sept. 2 2011
Firstpage
418
Lastpage
422
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications (DEXA), 2011 22nd International Workshop on
Conference_Location
Toulouse
ISSN
1529-4188
Print_ISBN
978-1-4577-0982-1
Type
conf
DOI
10.1109/DEXA.2011.26
Filename
6059853
Link To Document