Clustering Analysis Based on Chaos Immune Algorithm
To improve the accuracy of clustering classification, the Chaos Immune Algorithm was proposed. In this algorithm, the ergodic property of chaos phenomenon is used to optimize the initial population, so it can accelerate the convergence of Immune Algorithms. Chaotic systems are sensitive to initial c...
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| Format: | EJournal Article |
| Published: |
Institute of Advanced Engineering and Science,
2014-03-01.
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| Online Access: | Get fulltext |
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