S. Bickel and T. Scheffer, Multi-View Clustering, Fourth IEEE International Conference on Data Mining (ICDM'04), pp.19-26, 2004.
DOI : 10.1109/ICDM.2004.10095

G. Tzortzis and A. Likas, Kernel-Based Weighted Multi-view Clustering, 2012 IEEE 12th International Conference on Data Mining, pp.675-684, 2012.
DOI : 10.1109/ICDM.2012.43

R. Virginia and . Sa, Spectral clustering with two views, ICML workshop on learning with multiple views, pp.20-27, 2005.

A. Kumar and H. Daumé, A co-training approach for multi-view spectral clustering, Proceedings of the 28th International Conference on Machine Learning (ICML-11), pp.393-400, 2011.

A. Kumar, P. Rai, and H. Daume, Co-regularized multi-view spectral clustering, Advances in Neural Information Processing Systems, pp.1413-1421, 2011.

J. Liu, C. Wang, J. Gao, and J. Han, Multi-View Clustering via Joint Nonnegative Matrix Factorization, Proc. of SDM, pp.252-260, 2013.
DOI : 10.1137/1.9781611972832.28

Y. Guo, Convex subspace representation learning from multi-view data, AAAI, 2013.

E. Bruno and S. Marchand-maillet, Multiview clustering, Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, SIGIR '09, pp.736-737, 2009.
DOI : 10.1145/1571941.1572103

A. Trivedi, P. Rai, H. Daumé, I. Scott, and L. Duvall, Multiview clustering with incomplete views, NIPS Workshop, 2010.

W. Shao, X. Shi, S. Philip, and . Yu, Clustering on Multiple Incomplete Datasets via Collective Kernel Learning, 2013 IEEE 13th International Conference on Data Mining, pp.1181-1186, 2013.
DOI : 10.1109/ICDM.2013.117

Y. Shao-yuan-li, Z. Jiang, and . Zhou, Partial multi-view clustering, Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014.

W. Shao, L. He, and Y. Philip, Multiple incomplete views clustering via weighted nonnegative matrix factorization with l2,1 regularization, Machine Learning and Knowledge Discovery in Databases, pp.318-334, 2015.

Q. Yin, S. Wu, and L. Wang, Incomplete Multi-view Clustering via Subspace Learning, Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, CIKM '15, pp.383-392, 2015.
DOI : 10.1016/j.patrec.2013.12.003

Y. Andrew, . Ng, I. Michael, Y. Jordan, and . Weiss, On spectral clustering: Analysis and an algorithm Advances in neural information processing systems, pp.849-856, 2002.

C. Igel, T. Glasmachers, B. Mersch, N. Pfeifer, and P. Meinicke, Gradient-Based Optimization of Kernel-Target Alignment for Sequence Kernels Applied to Bacterial Gene Start Detection, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.4, issue.2, pp.216-226, 2007.
DOI : 10.1109/TCBB.2007.070208

C. Cortes, M. Mohri, and A. Rostamizadeh, Learning non-linear combinations of kernels, Advances in neural information processing systems, pp.396-404, 2009.

M. Lichman, UCI machine learning repository, 2013.