Abstract
This paper describes a new artificial immune system algorithm for data clustering. The proposed algorithm resembles the CLONALG, widely used AIS algorithm but much simpler as it uses one shot learning and omits cloning. The algorithm is tested using four simulated and two benchmark data sets for data clustering. Experimental results indicate it produced the correct clusters for the data sets.
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Younsi, R., Wang, W. (2004). A New Artificial Immune System Algorithm for Clustering. In: Yang, Z.R., Yin, H., Everson, R.M. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2004. IDEAL 2004. Lecture Notes in Computer Science, vol 3177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28651-6_9
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DOI: https://doi.org/10.1007/978-3-540-28651-6_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22881-3
Online ISBN: 978-3-540-28651-6
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