Observer-Biased Fuzzy Clustering
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[1] Marimuthu Palaniswami,et al. Fuzzy c-Means Algorithms for Very Large Data , 2012, IEEE Transactions on Fuzzy Systems.
[2] James M. Keller,et al. Comparing Fuzzy, Probabilistic, and Possibilistic Partitions , 2010, IEEE Transactions on Fuzzy Systems.
[3] Anil K. Jain,et al. Algorithms for Clustering Data , 1988 .
[4] C. L. Liu,et al. Introduction to Combinatorial Mathematics. , 1971 .
[5] David B. Hitchcock,et al. James-Stein shrinkage to improve k-means cluster analysis , 2010, Comput. Stat. Data Anal..
[6] Jian Yu,et al. General C-Means Clustering Model , 2005, IEEE Trans. Pattern Anal. Mach. Intell..
[7] Paulo Fazendeiro,et al. A fuzzy clustering algorithm with a variable focal point , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).
[8] Catherine A. Sugar,et al. Finding the Number of Clusters in a Dataset , 2003 .
[9] Rajagopalan Srinivasan,et al. NIFTI: An evolutionary approach for finding number of clusters in microarray data , 2008, BMC Bioinformatics.
[10] Rui Xu,et al. Survey of clustering algorithms , 2005, IEEE Transactions on Neural Networks.
[11] Yung-Yu Chuang,et al. Multiple Kernel Fuzzy Clustering , 2012, IEEE Transactions on Fuzzy Systems.
[12] Doulaye Dembélé,et al. Fuzzy C-means Method for Clustering Microarray Data , 2003, Bioinform..
[13] Amir B. Geva,et al. Hierarchical unsupervised fuzzy clustering , 1999, IEEE Trans. Fuzzy Syst..
[14] Hichem Frigui,et al. Clustering by competitive agglomeration , 1997, Pattern Recognit..
[15] G. Trzebiatowski,et al. On the Convergence of the Fuzzy Clustering Algorithm “Fuzzy ISODATA” , 1986 .
[16] Xiaowei Yang,et al. A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises , 2011, IEEE Transactions on Fuzzy Systems.
[17] Miin-Shen Yang,et al. A Robust Automatic Merging Possibilistic Clustering Method , 2011, IEEE Transactions on Fuzzy Systems.
[18] Dimitar Filev,et al. Generation of Fuzzy Rules by Mountain Clustering , 1994, J. Intell. Fuzzy Syst..
[19] Daniel T. Larose,et al. Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .
[20] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[21] Mokhtar S. Bazaraa,et al. Nonlinear Programming: Theory and Algorithms , 1993 .
[22] Hui Xiong,et al. A Generalization of Distance Functions for Fuzzy $c$ -Means Clustering With Centroids of Arithmetic Means , 2012, IEEE Transactions on Fuzzy Systems.
[23] Mohamed S. Kamel,et al. New algorithms for solving the fuzzy clustering problem , 1994, Pattern Recognit..
[24] Witold Pedrycz,et al. Knowledge-based clustering - from data to information granules , 2007 .
[25] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.
[26] Carl G. Looney,et al. Interactive clustering and merging with a new fuzzy expected value , 2002, Pattern Recognit..
[27] Richard J. Hathaway,et al. Density-Weighted Fuzzy c-Means Clustering , 2009, IEEE Transactions on Fuzzy Systems.
[28] Aize Cao,et al. A New Cluster Validity for Data Clustering , 2006, Neural Processing Letters.
[29] Hidetomo Ichihashi,et al. Fuzzy PCA-Guided Robust $k$-Means Clustering , 2010, IEEE Transactions on Fuzzy Systems.
[30] J. Suykens,et al. Convex Clustering Shrinkage , 2005 .
[31] Witold Pedrycz,et al. Fuzzy Clustering With Viewpoints , 2010, IEEE Transactions on Fuzzy Systems.
[32] Marek Reformat,et al. Hierarchical FCM in a stepwise discovery of structure in data , 2006, Soft Comput..
[33] Marvin H. J. Gruber. Improving Efficiency by Shrinkage: The James--Stein and Ridge Regression Estimators , 1998 .
[34] Vladimir Estivill-Castro,et al. Why so many clustering algorithms: a position paper , 2002, SKDD.
[35] Isak Gath,et al. Unsupervised Optimal Fuzzy Clustering , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[36] Raghu Krishnapuram,et al. Fitting an unknown number of lines and planes to image data through compatible cluster merging , 1992, Pattern Recognit..
[37] Nikola Kasabov,et al. Fuzzy clustering of gene expression data , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).
[38] Michael K. Ng,et al. Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters , 2008, IEEE Transactions on Knowledge and Data Engineering.
[39] Arnaud Devillez,et al. A fuzzy hybrid hierarchical clustering method with a new criterion able to find the optimal partition , 2002, Fuzzy Sets Syst..
[40] Didier Dubois,et al. Fuzzy sets-a convenient fiction for modeling vagueness and possibility , 1994, IEEE Trans. Fuzzy Syst..
[41] U. Kaymak,et al. Compatible cluster merging for fuzzy modelling , 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..
[42] James C. Bezdek,et al. On cluster validity for the fuzzy c-means model , 1995, IEEE Trans. Fuzzy Syst..
[43] Marina Meila,et al. Data centering in feature space , 2003, AISTATS.