A Better Approach to Attain Appropriate Images from a Collection of Images Using Fuzzy-C-Means
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Yuli Gao, Jinye Peng, Hangzai Luo, Daniel A. Keim, and Jianping Fan, “An Interactive Approach for Filtering Out Junk Images from Keyword-based Google Search Results”, IEEE transactions on Circuits and Systems for Video Technology, vol. 19, no. 12, December 2009.
R.Fergus, P.Perona, and A. Zisserman, “A visual category filter for Google Images”, in Proc. Eur. Conf. Comput. Vision (ECCV), pp.242–256, 2004.
D. Cai, X. He, Z. Li, W.-Y. Ma, and J.-R. Wen, “Hierarchical clustering of WWW image search results using visual, textual, and link information”, in Proc. ACM Int. Conf. Multimedia, pp. 952–959, 2004
Y. Rui, T. S. Huang, M. Ortega, and S. Mehrotra, “Relevance feedback: A power tool in interactive content-based image retrieval”, IEEE Trans. Circuit. System Video Technology, vol. 8, no. 5, pp. 644–655, Sep. 1998.
R. Zhang and Z. Zhang, “Hidden semantic concept discovery in region based image retrieval”, in Proc. IEEE Computer Vision Pattern Recognition, vol. 2. pp 996–1001, Jun 2004.
Y. Rubner, L. Guibas, and C. Tomasi, “The earth‟s mover distance, multidimensional scaling, and color-based image retrieval”, in Proc. ARPA Image Understanding Workshop, pp. 661–668, May 1997.
Tapas Kanungo, David .M. Mount, Nathan S Netanyahu “An Efficient k-Means Clustering Algorithm: Analysis and Implementation” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 7, july 2002
Kardi Tecnomo “K-Means Clustering Tutorial ” July 2007.
D. Vanisri, C.Loganathan, “An Efficient Fuzzy Clustering Algorithm Based on Modified K-Means”, International Journal of Engineering Science and Technology Vol. 2(10), 2010, 5949-5958.
Y. Gao, J. Fan, H. Luo, and S. Satoh, “A novel approach for filtering out junk images from Google search results,” in Proc. Int. Conf. Multimedia Modeling, 2008, pp. 1–12.
J. A. Walter, D. Webling, K. Essig, and H. Ritter, “Interactive hyperbolic image browsing-toward an integrated multimedia navigator,” in Proc. Int. ACM Conf. SIGKDD, 2006, pp. 250–259.
Y. Chen, J. Wang, and R. Krovetz, “CLUE: Cluster-based retrieval of images by unsupervised learning,” IEEE Trans. Image Process., vol. 14, no. 8, pp. 1187–1201, Aug. 2005.
J. Fan, D. A. Keim, Y. Gao, H. Luo, and Z. Li, “JustClick: Personalized image recommendation via exploratory search from large-scale Flickr images,” IEEE Trans. Circuit. Syst. Video Technol., vol. 19, no. 2, pp. 273–288, Feb. 2009.
Greg Hamerly, Charles Elkan, “Alternatives to k-means algorithm that finds better clusterings”.
Tapas Kanungo, David M. Mount, “ An efficient k-means clustering algorithm : Analysis and Implementation”, IEEE Transaction on pattern analysis and machine intelligence, vol 24 , no7, July 2002
Jiawei Han, Micheline Kamber, “Data Mining-Concepts and Technique”, Morgan Kaufmann Publishers, Second Edition, 2006.
Guojun Gan, Chaoqun Ma, Jianhong Wu, “Data Custering :Theory, Algorithms and Applications”, 2007
Weiling Cai, Songcan Chen, Daoqiang Zhang, “Fast and Robust Fuzzy C-Means Clustering Algorithms Incorporating Local Information for Image Segmentatio”
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