A Novel Parallel Clustering Algorithm Based on Artificial Immune Network Using nVidia CUDA Framework

Author:

Luo Ruiyi,Yin Qian

Publisher

Springer Berlin Heidelberg

Reference16 articles.

1. De Castro, L.N., Von Zuben, F.J.: An evolutionary immune network for data clustering. In: Proc. Sixth Brazilian Symp. Neural Networks, pp. 84–89 (2000)

2. Timmis, J.: Artificial Immune Systems: A Novel Data Analysis Technique Inspired by the Immune Network Theory. Ph.D. Dissertation, Department of Computer Science, University of Wales (2000)

3. Lecture Notes in Computer Science;S. Thomas,2005

4. De Castro, L.N., Timmis, J.: An artificial immune network for multimodal function optimization. In: Proc. Congr. Evol. Comput., pp. 699–704 (2002)

5. Everitt, B., Landau, S., Leese, M.: Cluster Analysis. In: Everitt, B. (ed.), 4th edn. Hodder Arnold, London (2001)

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1. Clustering algorithm for audio signals based on the sequential Psim matrix and Tabu Search;EURASIP Journal on Audio, Speech, and Music Processing;2017-12

2. GPU-based parallel optimization of immune convolutional neural network and embedded system;Engineering Applications of Artificial Intelligence;2017-06

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