A novel Hybrid Clustering Algonthm (HCA) that incorporates the K-means into the canonical immune programming algorithm is proposed after analyzing the advantages and disadvantages of the classical k-means clustering a...
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A novel Hybrid Clustering Algonthm (HCA) that incorporates the K-means into the canonical immune programming algorithm is proposed after analyzing the advantages and disadvantages of the classical k-means clustering algorithm in the paper. The theory analyse and experimental results show, the algorithm not only avoids the local optima and is robust to imtialization, but also increases the convergent speed, meanwhile evidently restrains the degenerating phenomenon during the evolutionary process.
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