A NOTE ON WEIGHTED FUZZY K-MEANS CLUSTERING FOR CONCEPT DECOMPOSITION
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[1] Frank Klawonn,et al. A contribution to convergence theory of fuzzy c-means and derivatives , 2003, IEEE Trans. Fuzzy Syst..
[2] Elizabeth R. Jessup,et al. Matrices, Vector Spaces, and Information Retrieval , 1999, SIAM Rev..
[3] Ch. Aswanikumar,et al. Concept lattice reduction using fuzzy K-Means clustering , 2010, Expert Syst. Appl..
[4] Cherukuri Aswani Kumar,et al. On the Performance of Latent Semantic Indexing based Information Retrieval , 2009, J. Comput. Inf. Technol..
[5] Ch. Aswani Kumar,et al. A Note on the Effect of Term Weighting on Selecting Intrinsic Dimensionality of Data , 2009 .
[6] Miin-Shen Yang,et al. Bootstrapping approach to feature-weight selection in fuzzy c-means algorithms with an application in color image segmentation , 2008, Pattern Recognit. Lett..
[7] C. Kumar,et al. Latent Semantic Indexing using eigenvalue analysis for efficient information retrieval , 2006 .
[8] Jonathan L. Elsas. An Evaluation of Projection Techniques for Document Clustering: Latent Semantic Analysis and Independent Component Analysis , 2005 .
[9] Jasminka Dobša,et al. Comparison of Information Retrieval Techniques: Latent Semantic Indexing and Concept Indexing , 2004 .
[10] George Karypis,et al. Concept Indexing: A Fast Dimensionality Reduction Algorithm With Applications to Document Retrieval and Categorization , 2000 .
[11] Sushant Sachdeva,et al. Dimension Reduction , 2008, Encyclopedia of GIS.
[12] David Hinkley,et al. Bootstrap Methods: Another Look at the Jackknife , 2008 .
[13] W. Scott Spangler,et al. Feature Weighting in k-Means Clustering , 2003, Machine Learning.
[14] George Karypis,et al. A Comparison of Document Clustering Techniques , 2000 .
[15] Richard A. Harshman,et al. Indexing by Latent Semantic Analysis , 1990, J. Am. Soc. Inf. Sci..
[16] Yi-Chung Hu,et al. A NEW FUZZY-DATA MINING METHOD FOR PATTERN CLASSIFICATION BY PRINCIPAL COMPONENT ANALYSIS , 2005, Cybern. Syst..
[17] Tormod Næs,et al. New modifications and applications of fuzzy C-means methodology , 2008, Comput. Stat. Data Anal..
[18] Bin Tang,et al. Document Representation and Dimension Reduction for Text Clustering , 2007, 2007 IEEE 23rd International Conference on Data Engineering Workshop.
[19] Cherukuri Aswani Kumar,et al. Analysis of unsupervised dimensionality reduction techniques , 2009, Comput. Sci. Inf. Syst..
[20] Bojana Dalbelo Basic,et al. Concept decomposition by fuzzy k-means algorithm , 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).
[21] Sam T. Roweis,et al. EM Algorithms for PCA and SPCA , 1997, NIPS.
[22] S. Srinivas,et al. Optimising the Heuristics in Latent Semantic Indexing for Effective Information Retrieval , 2006, J. Inf. Knowl. Manag..
[23] Michael K. Ng,et al. Automated variable weighting in k-means type clustering , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Inderjit S. Dhillon,et al. Concept Decompositions for Large Sparse Text Data Using Clustering , 2004, Machine Learning.
[25] Yadong Wang,et al. Improving fuzzy c-means clustering based on feature-weight learning , 2004, Pattern Recognit. Lett..
[26] Christian Döring,et al. Data analysis with fuzzy clustering methods , 2006, Comput. Stat. Data Anal..
[27] Jing Gao,et al. Text Retrieval Using Sparsified Concept Decomposition Matrix , 2004, CIS.
[28] Michael W. Berry,et al. Document clustering using nonnegative matrix factorization , 2006, Inf. Process. Manag..
[29] Erkki Oja,et al. Independent component analysis: algorithms and applications , 2000, Neural Networks.