1. bookVolumen 6 (2016): Edición 1 (January 2016)
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2449-6499
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30 Dec 2014
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Clustering Large-Scale Data Based On Modified Affinity Propagation Algorithm

Publicado en línea: 13 Jan 2016
Volumen & Edición: Volumen 6 (2016) - Edición 1 (January 2016)
Páginas: 23 - 33
Detalles de la revista
License
Formato
Revista
eISSN
2449-6499
Primera edición
30 Dec 2014
Calendario de la edición
4 veces al año
Idiomas
Inglés

[1] L. Kaufan, P. J. Rousseeuw, Finding Groups in Data: An Introduction to Cluster Analysis, John Wiley & Sons, New York, 1990.10.1002/9780470316801Search in Google Scholar

[2] R. Lior, and O. Maimon, Clustering Methods, Data mining and knowledge discovery handbook. Springer US, 2005, pp. 321-352Search in Google Scholar

[3] S. Patel, S. Sihmar and A. Jatain, A Study of Hierarchical Clustering Algorithms, Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on, 2005 pp. 537-541Search in Google Scholar

[4] J.W. Han and M. Kambr, Data Mining Concepts and Techniques, Higher Education Press, Beijing, 2001.Search in Google Scholar

[5] Y. Kang and Y. B. PARK, The Performance Evaluation of K-means by Two MapReduce Frameworks, Hadoop vs. Twister, Information Networking (ICOIN), 2015 International Conference on, 2015, pp. 405-40610.1109/ICOIN.2015.7057927Search in Google Scholar

[6] A. Y. Ng, M. I. Jordan, and Y. Weiss, On spectral clustering: Analysis and an algorithm, in Advances in Neural Information Processing Systems, 2001, pp. 849-856Search in Google Scholar

[7] H. D. Menendez, D. F. Barrero and D. Camacho, A Co-Evolutionary Multi-Objective Approach for a K-Adaptive Graph-based Clustering Algorithm, IEEE Congress on Evolutionary Computation (CEC), 2014, pp. 2724-273110.1109/CEC.2014.6900369Search in Google Scholar

[8] Han, J., and Kamber, M. Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, 2001, pp. 450-479Search in Google Scholar

[9] C. Tsai; Y. Hu, Enhancement of efficiency by thrifty search of interlocking neighbor grids approach for grid-based data clustering, Machine Learning and Cybernetics (ICMLC), 2013 International Conference on, 2013, pp. 1279-128410.1109/ICMLC.2013.6890785Search in Google Scholar

[10] M. Ester, H. P. Kriegel, J. S, X. W. Xu, A density based algorithm for discovering clusters in large spatial databases with noise, in Proc. 2nd International Conference on, 1993, pp. 2-11Search in Google Scholar

[11] S.T.Mai, He. Xiao, N. Hubig, C. Plant and C. Bohm, Active Density-Based Clustering, Data Mining (ICDM), 2013 IEEE 13th International Conference on, 2013, pp. 508–51710.1109/ICDM.2013.39Search in Google Scholar

[12] Zahn, C. T., Graph-theoretical methods for detecting and describing gestalt clusters. IEEE trans. Comput. C-20 (Apr.), 1971, pp. 68-8610.1109/T-C.1971.223083Search in Google Scholar

[13] F. Chamroukhi, Robust EM algorithm for model-based curve clustering, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN), 2013, pp. 1-810.1109/IJCNN.2013.6706758Search in Google Scholar

[14] B. J. Frey, D. Dueck, Clustering by Passing Messages Between Data Points, in Science, vol. 315, 2007, pp. 972-97610.1126/science.113680017218491Search in Google Scholar

[15] Wang Kai-jun, Zhang Jun-ying, Li Dan, et al, Adaptive Affinity Propagation Clustering, J. Acta Automatica Sinica, vol. 33(12), 2007, pp. 1242-1246Search in Google Scholar

[16] Wang Kai-jun, Li Jian, Zhang Jun-ying, et al, Semi-supervised Affinity Propagation Clustering, J. Computer Engineering, vol. 33(23), 2007, pp. 197-201Search in Google Scholar

[17] Yancheng He, Qingcai Chen, Xiaolong, et al, An Adaptive Affinity Propagation Docu-ment Clustering, Proceedings of the 7th International Conference on Informatics and Sys-tems, 2010, pp. 1-7Search in Google Scholar

[18] Yangqing Jiay, Jingdong Wangz, Changshui Zhangy, Xian-Sheng Hua, Finding Image Exemplars Using Fast Sparse Affinity Propagation, Proceedings of the 16th ACM International conference on Multimedia, 2006, pp. 113-118Search in Google Scholar

[19] Yasuhiro Fujiwara, Go Irie and Tomoe Kitahara, Fast Algorithm for Affinity Propagation, International Joint Conference on Artificial Intelligence (IJCAI), 2011, pp. 2238-2243Search in Google Scholar

[20] Xiangliang Zhang, Wei Wang, Kjetil Nrvag and Michele Sebag, K-AP: Generating Specified K Clusters by Efficient Affinity Propagation, Data Mining (ICDM), 2010 IEEE 10th International Conference on, 2010, pp. 1187-119210.1109/ICDM.2010.107Search in Google Scholar

[21] Xiaonan Liu, Meijuan Yin, Junyong Luo and Wuping Chen, An Improved Affinity Propagation Clustering Algorithm for Large-scale Data Sets, 2013 Ninth International Conference on Natural Computation (ICNC), IEEE, 2013, pp. 894 - 899Search in Google Scholar

[22] W. Barbakh and C. Fyfe. Inverse weighted clustering algorithm, Computing and InformationSystems, 11(2)10-18, May 2007. ISSN 1352-9404.Search in Google Scholar

[23] C.-D. Wang, J.-H. Lai, C. Suen, and J.-Y. Zhu, Multi-exemplar affinity propagation, Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 35, 2013 pp. 2223–223710.1109/TPAMI.2013.2823868781Search in Google Scholar

[24] K.J. Wang, J.Y. Zhang, D. Li, X.N. Zhang, and T. Guo, Adaptive Affinity Propagation Clustering, Acta Automatica Sinica, vol. 33, no. 12, 2007, pp. 1242-1246Search in Google Scholar

[25] C. L. Blake, C. J. Merz, “UCI repository of machine learning databases,” 2012, http://archive.ics.uci.edu/ml/.Search in Google Scholar

[26] L. N. Ana, Fred, K. J. Anil, Robust Data Clustering, Computer Vision and Pattern Recognition, 2003, Proceedings, 2003 IEEE Computer Society Conference on, 2003, pp. 128 – 133Search in Google Scholar

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