A review: accuracy optimization in clustering ensembles using genetic algorithms
The clustering ensemble has emerged as a prominent method for improving robustness, stability, and accuracy of unsupervised classification solutions. It combines multiple partitions generated by different clustering algorithms into a single clustering solution. Genetic algorithms are known as metho...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/18474/1/A%20review.pdf |