Transfer Clustering Ensemble Selection
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Jun Zhang | Yide Wang | Jane You | Zhiwen Yu | Hau-San Wong | Yifan Shi | C L Philip Chen | Yifan Shi | J. You | Yide Wang | Zhiwen Yu | H. Wong | Jun Zhang | C. L. P. Chen
[1] Yan Yang,et al. Selective Clustering Ensemble Based on Covariance , 2013, MCS.
[2] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[3] Blaise Hanczar,et al. Ensemble methods for biclustering tasks , 2012, Pattern Recognition.
[4] Chris H. Q. Ding,et al. Weighted Consensus Clustering , 2008, SDM.
[5] Hamid Parvin,et al. Cluster ensemble selection based on a new cluster stability measure , 2014, Intell. Data Anal..
[6] Jun Zhang,et al. Multiobjective Semisupervised Classifier Ensemble , 2019, IEEE Transactions on Cybernetics.
[7] Daoqiang Zhang,et al. WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory , 2016, IEEE Transactions on Cybernetics.
[8] Wai Lok Woo,et al. Region-of-interest extraction in low depth of field images using ensemble clustering and difference of Gaussian approaches , 2013, Pattern Recognit..
[9] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[10] Jane You,et al. Hybrid Fuzzy Cluster Ensemble Framework for Tumor Clustering from Biomolecular Data , 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[11] Fan Yang,et al. Cluster ensemble selection with constraints , 2017, Neurocomputing.
[12] Pengjiang Qian,et al. Transfer learning based maximum entropy clustering , 2014, 2014 4th IEEE International Conference on Information Science and Technology.
[13] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[14] Hamid Parvin,et al. To improve the quality of cluster ensembles by selecting a subset of base clusters , 2014, J. Exp. Theor. Artif. Intell..
[15] Jiye Liang,et al. Clustering ensemble selection for categorical data based on internal validity indices , 2017, Pattern Recognit..
[16] Chang-Dong Wang,et al. Locally Weighted Ensemble Clustering , 2016, IEEE Transactions on Cybernetics.
[17] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1997, EuroCOLT.
[18] Vipin Kumar,et al. A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs , 1998, SIAM J. Sci. Comput..
[19] Zhaohong Deng,et al. Transfer Prototype-Based Fuzzy Clustering , 2014, IEEE Transactions on Fuzzy Systems.
[20] M. Cugmas,et al. On comparing partitions , 2015 .
[21] Hamid Parvin,et al. A clustering ensemble framework based on elite selection of weighted clusters , 2013, Adv. Data Anal. Classif..
[22] Jane You,et al. A New Kind of Nonparametric Test for Statistical Comparison of Multiple Classifiers Over Multiple Datasets , 2017, IEEE Transactions on Cybernetics.
[23] Pengjiang Qian,et al. Cluster Prototypes and Fuzzy Memberships Jointly Leveraged Cross-Domain Maximum Entropy Clustering , 2016, IEEE Transactions on Cybernetics.
[24] Muhammad Yousefnezhad,et al. Wisdom of Crowds cluster ensemble , 2016, Intell. Data Anal..
[25] Daoqiang Zhang,et al. A new selection strategy for selective cluster ensemble based on Diversity and Independency , 2016, Eng. Appl. Artif. Intell..
[26] Ludmila I. Kuncheva,et al. Moderate diversity for better cluster ensembles , 2006, Inf. Fusion.
[27] Anil K. Jain,et al. Adaptive clustering ensembles , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[28] Zhiwen Yu,et al. Knowledge Based Cluster Ensemble for Cancer Discovery From Biomolecular Data , 2011, IEEE Transactions on NanoBioscience.
[29] Zhiwen Yu,et al. Hybrid Adaptive Classifier Ensemble , 2015, IEEE Transactions on Cybernetics.
[30] Jane You,et al. Distribution-Based Cluster Structure Selection , 2017, IEEE Transactions on Cybernetics.
[31] Qiang Yang,et al. Self-taught clustering , 2008, ICML '08.
[32] Hosein Alizadeh,et al. Hierarchical cluster ensemble selection , 2015, Eng. Appl. Artif. Intell..
[33] William F. Punch,et al. A Comparison of Resampling Methods for Clustering Ensembles , 2004, IC-AI.
[34] Suranjana Samanta,et al. Cross-domain clustering performed by transfer of knowledge across domains , 2013, 2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG).
[35] Sandro Vega-Pons,et al. A Survey of Clustering Ensemble Algorithms , 2011, Int. J. Pattern Recognit. Artif. Intell..
[36] William F. Punch,et al. Effects of resampling method and adaptation on clustering ensemble efficacy , 2011, Artificial Intelligence Review.
[37] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[38] Ana Margarida de Jesus,et al. Improving Methods for Single-label Text Categorization , 2007 .
[39] Jane You,et al. Semi-Supervised Ensemble Clustering Based on Selected Constraint Projection , 2018, IEEE Transactions on Knowledge and Data Engineering.
[40]
Hareton K. N. Leung,et al.
Hybrid
[41] Yuchou Chang,et al. Unsupervised feature selection using clustering ensembles and population based incremental learning algorithm , 2008, Pattern Recognit..
[42] Ana L. N. Fred,et al. Combining multiple clusterings using evidence accumulation , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[43] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[44] Yide Wang,et al. Progressive Semisupervised Learning of Multiple Classifiers , 2018, IEEE Transactions on Cybernetics.
[45] Xiaoyi Jiang,et al. Ensemble clustering by means of clustering embedding in vector spaces , 2014, Pattern Recognit..
[46] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[47] Junjie Wu,et al. Spectral Ensemble Clustering , 2015, KDD.
[48] Pengjiang Qian,et al. Collaborative Fuzzy Clustering From Multiple Weighted Views , 2015, IEEE Transactions on Cybernetics.
[49] Jane You,et al. From cluster ensemble to structure ensemble , 2012, Inf. Sci..
[50] Korris Fu-Lai Chung,et al. Transfer Spectral Clustering , 2012, ECML/PKDD.
[51] Xiaoli Z. Fern,et al. Cluster Ensemble Selection , 2008, Stat. Anal. Data Min..
[52] Jianbo Shi,et al. Multiclass spectral clustering , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[53] Zhiwen Yu,et al. Graph-based consensus clustering for class discovery from gene expression data , 2007, Bioinform..
[54] William F. Punch,et al. Ensembles of partitions via data resampling , 2004, International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004..
[55] Jon M. Kleinberg,et al. An Impossibility Theorem for Clustering , 2002, NIPS.
[56] André Carlos Ponce de Leon Ferreira de Carvalho,et al. Cluster ensemble selection based on relative validity indexes , 2012, Data Mining and Knowledge Discovery.
[57] Hamidah Ibrahim,et al. A Survey: Clustering Ensembles Techniques , 2009 .
[58] Joydeep Ghosh,et al. Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions , 2002, J. Mach. Learn. Res..
[59] Chongzhao Han,et al. Rough set based cluster ensemble selection , 2013, Proceedings of the 16th International Conference on Information Fusion.
[60] Hamid Parvin,et al. A clustering ensemble framework based on selection of fuzzy weighted clusters in a locally adaptive clustering algorithm , 2013, Pattern Analysis and Applications.
[61] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[62] Daniel Hernández-Lobato,et al. A Double Pruning Scheme for Boosting Ensembles , 2014, IEEE Transactions on Cybernetics.
[63] Wei Tang,et al. Clusterer ensemble , 2006, Knowl. Based Syst..
[64] Yi Hong,et al. Resampling-based selective clustering ensembles , 2009, Pattern Recognit. Lett..
[65] Yunjun Gao,et al. Hybrid clustering solution selection strategy , 2014, Pattern Recognit..
[66] Guangfei Yang,et al. Transfer clustering via constraints generated from topics , 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[67] M. Friedman. The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance , 1937 .
[68] Licheng Jiao,et al. Bagging-based spectral clustering ensemble selection , 2011, Pattern Recognit. Lett..
[69] Hau-San Wong,et al. Generalized Adjusted Rand Indices for cluster ensembles , 2012, Pattern Recognit..
[70] Hamid Parvin,et al. A comprehensive study of clustering ensemble weighting based on cluster quality and diversity , 2017, Pattern Analysis and Applications.
[71] Chris H. Q. Ding,et al. Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[72] Ludmila I. Kuncheva,et al. Using diversity in cluster ensembles , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).