Analysis of an ensemble algorithm for clustering cancer data
- Resource Type
- Conference
- Authors
- Wu, Dengyuan; Sheng, Li; Xu, Eric; Xing, Kai; Chen, Dechang
- Source
- 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on. :754-755 Oct, 2012
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Clustering algorithms
Couplings
Algorithm design and analysis
Educational institutions
Breast cancer
Prediction algorithms
- Language
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.