Gao J, Fan W, Jiang J, et al. Knowledge transfer via multiple model local structure mapping[C]. Proc of The 14th Acm Sigkdd Int Conf on Knowledge Discovery and Data Mining. New York: ACM, 2008: 283-291.
[2]
Tao J, Chung F L, Wang S T. On minimum distribution discrepancy support vector machine for domain adaptation[J]. Pattern Recognition, 2012, 45(11): 3962-3984.
[3]
Yang P, Tan Q, Ding Y, Bayesian task-level transfer learning for non-linear regression[C]. 2008 Int Conf on Computer Science and Software Engineering. Wuhan: IEEE, 2008: 62-65.
[4]
Deng Z H, Jiang Y Z, Choi K S, et al, Knowledgeleverage-based TSK fuzzy system modeling[J]. IEEE Trans on Neural Netw Learning System, 2013, 24(8): 1200-1212.
[5]
Wang Z, Song Y Q, Zhang C S. Transferred dimensionality reduction[C]. Lecture Notes in Computer Science. Berlin: Springer Heidelberg, 2008: 550-565.
[6]
Pan S J, Kwok J T, Yang Q. Transfer learning via dimensionality reduction[C]. The 23rd Conf on Artificial Intelligence. Illinois : AAAI, 2008, 8: 677-682.
[7]
DaiWY, Yang Q, Xue G R, et al. Self-taught clustering[C]. Proc of the 25th Int Conf on Machine Learning. Helsinki: ACM, 2008, 8: 200-207.
[8]
Jiang W H, Chung F L. Transfer spectral clustering[C]. Machine Learning and Knowledge Discovery in Databases. Berlin: Springer Heidelberg, 2012: 789-803.
[9]
H¨oppner F, Klawonn F, Kruse R. Fuzzy cluster analysis: Methods for classification, data analysis and image recognition[M]. New York: Wiley, 1999: 197-221.
[10]
Bezdek J C, Hathaway R J. Numerical convergence and interpretation of the fuzzy c-shells clustering algorithms[J]. IEEE Trans on Neural Netw, 1992, 3(5): 787-793.
[11]
Wu K L, Yu J, Yang M S. A novel fuzzy clustering algorithm based on a fuzzy scatter matrix with optimality tests[J]. Pattern Recognition Lett, 2005, 26(5): 639-652.
[12]
Karayiannis N B. MECA: Maximum entropy clustering algorithm[C]. Proc of the 3rd IEEE Conf on IEEE World Congress on Computational Intelligence. Orlando: IEEE, 1994: 630-635.
[13]
Li R P, Mukaidono M A. A maximum entropy approach to fuzzy clustering[C]. Proc on IEEE Int Conf Fuzzy System. Yokohama: IEEE, 1995: 2227-2232.
[14]
Wang S T, Chung K, Deng Z H, et al. Robust maximum entropy clustering with its labeling for outliers[J]. Soft Compt, 2006, 10(7): 555-563.
[15]
Zhi X B, Fan J L, Zhao F. Fuzzy linear discriminant analysis-guided maximum entropy fuzzy clustering algorithm[J]. Pattern Recognition, 2013, 46(6): 1604-1615.
[16]
Qian P Q, Chung F L, Wang S T, et al. Fast graphbased relaxed clustering for large data sets using minimal enclosing ball[J]. IEEE Trans on Systems, Man and Cybernetics, 2012, 42(3): 672-687.
[17]
Desgraupes B. Clustering indices[M]. Paris: University of Paris Ouest, 2013: 70-84.
[18]
Gu Q, Zhou J. Learning the shared subspace for multi-task clustering and transductive transfer classification[C]. The 9th IEEE Int Conf on Data Mining. Miami: IEEE, 2009: 159-168.
[19]
Liu J, Mohammed J, Carter J, et al. Distance-based clustering of CGH data[J]. Bioinformatics, 2006, 22(16): 1971-1978.
[20]
Dai W Y, Xue G R, Yang Q, et al. Co-clustering based classification for out-of-domain documents[C]. The 13th ACM Sigkdd Int Conf on Knowledge Discovery and Data Mining. New York: ACM, 2007: 210-219.
[21]
McCallum A K. Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering [DB/OL]. [1996-12-15]. (2014-01-15). http://www.cs.cmu.edu/mccallum/bow.
