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Cluster EnsembleforGene ExpressionMicroarray Data
- Marcilio C. P. deSouto, Shirlly C. M. Silva, Valnaide G. Bittencourtt, A. deAraujo
- Computer Science
Experimental results show that there is often asignificant improvement inults obtained with the use of cluster ensemble techniques when compared to those based on the clustering techniques used individually.
Individual Clustering and Homogeneous Cluster Ensemble Approaches Applied to Gene Expression Data
- Shirlly C. M. Silva, D. Araújo, R. B. Paradeda, Valmar S. Severiano-Sobrinho, M. D. Souto
- Computer ScienceAustralian Conference on Artificial Intelligence
- 5 December 2005
This work analyzes the potential of applying cluster ensemble techniques to gene expression microarray data and shows that there is often a significant improvement in the results obtained with the use of ensemble techniques when compared to those based on the clustering techniques used individually.