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Analysis of an ensemble algorithm for clustering cancer data

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5 Author(s)
Dengyuan Wu ; Dept. of Comput. Sci., George Washington Univ., Washington, DC, USA ; Li Sheng ; Xu, E. ; Kai Xing
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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.

Published in:

Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on

Date of Conference:

4-7 Oct. 2012

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