Model Selection for Semi-Supervised Clustering
暂无分享,去创建一个
Arthur Zimek | Randy Goebel | Ricardo J. G. B. Campello | Jörg Sander | Davoud Moulavi | Mojgan Pourrajabi | A. Zimek | J. Sander | R. Goebel | R. Campello | D. Moulavi | Mojgan Pourrajabi
[1] Rui Xu,et al. Survey of clustering algorithms , 2005, IEEE Transactions on Neural Networks.
[2] Jörg Sander,et al. Semi-supervised Density-Based Clustering , 2009, 2009 Ninth IEEE International Conference on Data Mining.
[3] Peter J. Rousseeuw,et al. Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .
[4] Raymond J. Mooney,et al. A probabilistic framework for semi-supervised clustering , 2004, KDD.
[5] Myra Spiliopoulou,et al. Density-based semi-supervised clustering , 2010, Data Mining and Knowledge Discovery.
[6] Ali S. Hadi,et al. Finding Groups in Data: An Introduction to Chster Analysis , 1991 .
[7] Cláudia Antunes,et al. Semi-supervised Clustering: A Case Study , 2012, MLDM.
[8] Anil K. Jain,et al. Clustering with Soft and Group Constraints , 2004, SSPR/SPR.
[9] Christian Böhm,et al. HISSCLU: a hierarchical density-based method for semi-supervised clustering , 2008, EDBT '08.
[10] Arthur Zimek,et al. A survey on enhanced subspace clustering , 2013, Data Mining and Knowledge Discovery.
[11] Pavel Berkhin,et al. A Survey of Clustering Data Mining Techniques , 2006, Grouping Multidimensional Data.
[12] M. Cugmas,et al. On comparing partitions , 2015 .
[13] Anil K. Jain,et al. Algorithms for Clustering Data , 1988 .
[14] Ian Davidson,et al. Measuring Constraint-Set Utility for Partitional Clustering Algorithms , 2006, PKDD.
[15] A. Zimek,et al. On Using Class-Labels in Evaluation of Clusterings , 2010 .
[16] Arnold W. M. Smeulders,et al. The Amsterdam Library of Object Images , 2004, International Journal of Computer Vision.
[17] Nenghai Yu,et al. Learning Bregman Distance Functions for Semi-Supervised Clustering , 2012, IEEE Transactions on Knowledge and Data Engineering.
[18] Ricardo J. G. B. Campello,et al. Relative clustering validity criteria: A comparative overview , 2010, Stat. Anal. Data Min..
[19] Arindam Banerjee,et al. Active Semi-Supervision for Pairwise Constrained Clustering , 2004, SDM.
[20] Myra Spiliopoulou,et al. C-DBSCAN: Density-Based Clustering with Constraints , 2009, RSFDGrC.
[21] Michael R. Anderberg,et al. Cluster Analysis for Applications , 1973 .
[22] Claire Cardie,et al. Intelligent Clustering with Instance-Level Constraints , 2002 .
[23] Arthur Zimek,et al. A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies , 2013, Data Mining and Knowledge Discovery.
[24] Vincent Kanade,et al. Clustering Algorithms , 2021, Wireless RF Energy Transfer in the Massive IoT Era.
[25] Aidong Zhang,et al. Cluster analysis for gene expression data: a survey , 2004, IEEE Transactions on Knowledge and Data Engineering.
[26] Elke Achtert,et al. Evaluation of Clusterings -- Metrics and Visual Support , 2012, 2012 IEEE 28th International Conference on Data Engineering.
[27] Dan Klein,et al. From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering , 2002, ICML.
[28] Anil K. Jain. Data clustering: 50 years beyond K-means , 2008, Pattern Recognit. Lett..
[29] Martin Ester,et al. Density‐based clustering , 2019, WIREs Data Mining Knowl. Discov..
[30] Peng Li,et al. A Variational Approach to Semi-Supervised Clustering , 2009, ESANN.
[31] Tao Li,et al. Semi-supervised Hierarchical Clustering , 2011, 2011 IEEE 11th International Conference on Data Mining.
[32] Claire Cardie,et al. Proceedings of the Eighteenth International Conference on Machine Learning, 2001, p. 577–584. Constrained K-means Clustering with Background Knowledge , 2022 .
[33] Raymond J. Mooney,et al. Integrating constraints and metric learning in semi-supervised clustering , 2004, ICML.
[34] S. S. Ravi,et al. The complexity of non-hierarchical clustering with instance and cluster level constraints , 2007, Data Mining and Knowledge Discovery.
[35] Amine Bensaid,et al. Data mining for text categorization with semi-supervised agglomerative hierarchical clustering , 2000, Int. J. Intell. Syst..
[36] P. Sopp. Cluster analysis. , 1996, Veterinary immunology and immunopathology.
[37] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.
[38] Günther Palm,et al. On the Effects of Constraints in Semi-supervised Hierarchical Clustering , 2006, ANNPR.
[39] Roger E Bumgarner,et al. Clustering gene-expression data with repeated measurements , 2003, Genome Biology.
[40] Ricardo J. G. B. Campello,et al. Automatic aspect discrimination in data clustering , 2012, Pattern Recognit..
[41] André Hardy,et al. An examination of procedures for determining the number of clusters in a data set , 1994 .
[42] Jerzy W. Grzymala-Busse,et al. Rough Sets , 1995, Commun. ACM.
[43] Claire Cardie,et al. Clustering with Instance-Level Constraints , 2000, AAAI/IAAI.