Citation: | WANG Shuliang, FAN Jinghua, FANG Meng, et al., “HGCUDF:Hierarchical Grid Clustering Using Data Field,” Chinese Journal of Electronics, vol. 23, no. 1, pp. 37-42, 2014, |
D.R. Li, S.L. Wang, D.Y. Li, Spatial Data Mining Theories and Applications (second edition), Science Press, Beijing, China, pp.2-36, 2013.
|
Executive office of the President, Big Data across the Federal Government, 2012.
|
McKinsey Global Institute, Big Data: The Next Frontier for Innovation, Competition, and Productivity, 2011.
|
D.N. Reshefet, et al.,"Detecting novel associations in large data sets", Science, No.334, pp.1518, 2011.
|
United Nations Global Pulse, Big Data for Development: Challenges & Opportunities, 2012.
|
S.L. Wang, W.Y. Gan, D.Y. Li, D.R. Li,"Data field for hierarchical clustering", International Journal of Data Warehousing and Mining, Vol.7, No.2, pp.43-63, 2011.
|
J. Grabmeie, A. Rudolph,"Techniques of cluster algorithms in data mining", Data Mining and Knowledge Discovery, No.6, pp.303-360, 2002.
|
H. Jin, S.L.Wang, C. Li,"Community detection in complex network by density-based clustering", Physica A, Vol.392, No.19, pp.4606-4618, 2013.
|
Z. Lu, et al.,"Super large data sets clustering by means radial compression", Chinese Journal of Electronics, Vol.22, No.2, pp.335-340, 2013.
|
S. Guha, R. Rastogi, K. Shim,"CURE: An efficient clustering algorithm for large databases", Proc. of the ACM SIGMOD International Conference on Management of Data, Seattle: ACM Press, pp.73-84, 1998.
|
H.H. Malik, et al.,"Hierarchical document clustering using local patterns", Data Mining Knowledge Discovery, No.21, pp.153185, 2010.
|
M. Fang, S.L. Wang, H. Jing,"Spatial neighborhood clustering based on data field", Lecture Notes in Computer Science, ADMA 2010, Vol.1, pp.262-269, 2010.
|
L. Parsons, E. Haque, Liu,"Subspace clustering for high dimensional data: A review", SIGKDD Explorations, Vol.6, No.1, pp.90-105, 2004.
|
S.J. Hornget, et al.,"A novel intrusion detection system based on hierarchical clustering and support vector machines", Expert Systems with Applications, Vol.38, No.1, pp.306-313, 2011.
|