Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology
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[1] C. Sander,et al. Integrative Subtype Discovery in Glioblastoma Using iCluster , 2012, PloS one.
[2] Jieping Ye,et al. Nonlinear adaptive distance metric learning for clustering , 2007, KDD '07.
[3] Mark A. Girolami,et al. Mercer kernel-based clustering in feature space , 2002, IEEE Trans. Neural Networks.
[4] Joachim M. Buhmann,et al. Fusion of Similarity Data in Clustering , 2005, NIPS.
[5] Rong Jin,et al. Generalized Maximum Margin Clustering and Unsupervised Kernel Learning , 2006, NIPS.
[6] Karl Pearson F.R.S.. LIII. On lines and planes of closest fit to systems of points in space , 1901 .
[7] Colin Fyfe,et al. Kernel and Nonlinear Canonical Correlation Analysis , 2000, IJCNN.
[8] Dale Schuurmans,et al. Maximum Margin Clustering , 2004, NIPS.
[9] Bernhard Schölkopf,et al. Support Vector Machine Applications in Computational Biology , 2004 .
[10] Chris H. Q. Ding,et al. K-means clustering via principal component analysis , 2004, ICML.
[11] Florian Markowetz,et al. Patient-Specific Data Fusion Defines Prognostic Cancer Subtypes , 2011, PLoS Comput. Biol..
[12] Sham M. Kakade,et al. Multi-view clustering via canonical correlation analysis , 2009, ICML '09.
[13] Ethem Alpaydin,et al. Localized algorithms for multiple kernel learning , 2013, Pattern Recognit..
[14] Wei Tang,et al. Clustering with Multiple Graphs , 2009, 2009 Ninth IEEE International Conference on Data Mining.
[15] H. Hotelling. Relations Between Two Sets of Variates , 1936 .
[16] Steven J. M. Jones,et al. Comprehensive molecular characterization of human colon and rectal cancer , 2012, Nature.
[17] Chris H. Q. Ding,et al. Spectral Relaxation for K-means Clustering , 2001, NIPS.
[18] William Stafiord Noble,et al. Support vector machine applications in computational biology , 2004 .
[19] Hal Daumé,et al. Co-regularized Multi-view Spectral Clustering , 2011, NIPS.
[20] Christoph H. Lampert,et al. Correlational spectral clustering , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[21] Joydeep Ghosh,et al. Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions , 2002, J. Mach. Learn. Res..
[22] C. Sander,et al. Pattern discovery and cancer gene identification in integrated cancer genomic data , 2013, Proceedings of the National Academy of Sciences.
[23] Zhuowen Tu,et al. Similarity network fusion for aggregating data types on a genomic scale , 2014, Nature Methods.
[24] Vincent Kanade,et al. Clustering Algorithms , 2021, Wireless RF Energy Transfer in the Massive IoT Era.
[25] Ethem Alpaydin,et al. Multiple Kernel Learning Algorithms , 2011, J. Mach. Learn. Res..
[26] Bernhard Schölkopf,et al. Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.
[27] Johan A. K. Suykens,et al. Optimized Data Fusion for Kernel k-Means Clustering , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Yung-Yu Chuang,et al. Affinity aggregation for spectral clustering , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.