DocumentCode
3453630
Title
Analysis of an ensemble algorithm for clustering cancer data
Author
Dengyuan Wu ; Li Sheng ; Xu, Eric ; Kai Xing ; Dechang Chen
Author_Institution
Dept. of Comput. Sci., George Washington Univ., Washington, DC, USA
fYear
2012
fDate
4-7 Oct. 2012
Firstpage
754
Lastpage
755
Abstract
In this paper, we present an analysis of the ensemble algorithm of clustering of cancer data (EACCD) by Chen et al. Using a breast cancer dataset, we demonstrate the effectiveness of EACCD in capturing differences among survival curves. We also investigate the impact of different settings in EACCD and compare EACCD with several other clustering approaches.
Keywords
cancer; medical computing; pattern clustering; EACCD; breast cancer dataset; ensemble algorithm of clustering of cancer data; survival curves; Algorithm design and analysis; Breast cancer; Clustering algorithms; Couplings; Educational institutions; Prediction algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on
Conference_Location
Philadelphia, PA
Print_ISBN
978-1-4673-2746-6
Electronic_ISBN
978-1-4673-2744-2
Type
conf
DOI
10.1109/BIBMW.2012.6470233
Filename
6470233
Link To Document