Using metaheuristics to optimize the combination of classifier and cluster ensembles.
Luiz F. S. ColettaEduardo R. HruschkaAyan AcharyaJoydeep GhoshPublished in: Integr. Comput. Aided Eng. (2015)
Keyphrases
- cluster ensemble
- combining multiple
- training data
- fusion methods
- rand index
- decision trees
- consensus clustering
- support vector machine
- feature set
- simulated annealing
- svm classifier
- input data
- data sets
- support vector
- image segmentation
- co occurrence
- natural language processing
- graph partitioning
- statistical analysis and data mining
- feature space
- gene expression profiles
- feature selection