DOI:10.20894/IJDMTA. Periodicity: Bi Annual. Impact Factor: SJIF:4.893 & GIF:0.787 Submission:Any Time Publisher: IIR Groups Language: English Review Process: Double Blinded
P. H. A. Sneath and R. R. Sokal, "Numerical Taxonomy- The Principles and Practice of Numerical Classification", W. H. Freeman, San Francisco, ,1973 View Artical
George Karypis, Eui-Hong (Sam) Han, and Vipin Kumar, "Chameleon:A hierarchical clustering using dynamic modeling ,Vol.32 ,Issue 8 ,1999 View Artical
L. Kaufman and P. J. Rousseeuw, "Clustering by means of medoids in Statistical Data Analysis Based on the Norm", North Holland Elsevier, Amsterdam ,1987 View Artical
L. Kaufman and P. J. Rousseeuw, "Finding Groups in Data, an Introduction to Cluster Analysis", John Wiley &Sons, Brussels, Belgium ,1990 View Artical
R. T. Ng and J. Han, "Efficient and effective clustering methods for spatial data mining", in Proceedings of the 20th VLDB Conference, Santia ,1994 View Artical
K. C. Gouda and E. Diday, "Symbolic clustering using a new similarity measure", IEEE Transactions on Systems, Man, and Cybernetics ,Vol.20 ,1992 View Artical
G. D. Ramkumar and A. Swami, "Clustering data without distance functions", Bulletin of the IEEE Computer Society Technical Co ,Vol.21 ,1998 View Artical
P. Bajcsy and N. Ahuja, "Location- and density-based hierarchical clustering using similarity analysis", IEEE Transactions on Pattern Analysis and Machine ,Vol.20 ,1998 View Artical
Y. El Sonbaty and M. A. Ismail, "Fuzzy clustering for symbolic data", IEEE Transactions on Fuzzy Systems ,Vol.6 ,1998 View Artical
E. H. Ruspini, "Numerical methods for fuzzy clustering", Information Science ,Vol.2 ,1970 View Artical
R.J. Hathaway, J.W. Devenport, and J.C. Bezdek, "Relational dual of the c-means clustering algorithms", Pattern Recognition ,Vol.22 ,Issue 2 ,1989 View Artical
P. Maji and S. K. Pal, "Rough-Fuzzy C-Medoids Algorithm and Selection of Bio-Basis for Amino Acid, Sequence Analysis", IEEE Transactions on Knowledge and Data Engineerin ,Vol.19 ,Issue 6 ,2007 View Artical
Z.R. Yang and R. Thomson, "Bio-Basis Function Neural Network for Prediction of Protease Cleavage Sites in Proteins", IEEE Trans.Neural Networks ,Vol.16 ,Issue 1 ,2005 View Artical
D. Dubois and H. Prade, "Rough Fuzzy Sets and Fuzzy Rough Sets", Int?l J. General Systems, ,Vol.17 ,1990 View Artical
M.S. Johnson and J.P. Overington, "A Structural Basis for Sequence Comparisons: An Evaluation of Scoring Methodologies", J. Molecular Biology ,Vol.233 ,1993 View Artical
P. A. Vijaya, M. NarasimhaMurty and D. K. Subramanian, "Efficient median based clustering and classification techniques for protein sequences", Pattern Analysis and Applications ,Vol.9 ,2006 View Artical
J. C. Bezdek, "Pattern Recognition with Fuzzy Objective Function Algorithms", Plenum Press, New York ,1981 View Artical
R. N. Dav? and S. Sen, "Robust Fuzzy Clustering of Relational Data", IEEE Transactions on Fuzzy Systems ,Vol.10 ,Issue 6 ,2002 View Artical
E.A. Berry, A.R. Dalby, and Z.R. Yang, "Reduced Bio-Basis Function Neural Network for Identification of Protein Phosphorylation Sites:Compar", Biology and Chemistry ,Vol.28 ,2004 View Artical
R. J. Hathaway and J. C. Bedeck, "NERF c-means: Non-Euclidean relational fuzzy clustering", Pattern Recognition ,Vol.27 ,1994 View Artical
R.Krishnapuram, R.Joshi, A.Nasraoui and O.Yi,, "Low-complexity fuzzy relational clustering algorithms for Web mining", Fuzzy Systems, IEEE Transactions ,Vol.9 ,2001 View Artical
M. A. Ismail, "Soft Clustering: Algorithms and validity of solutions", Fuzzy Computing. Amsterdam, the Netherlands: Elsev ,1998 View Artical
S. Hazelhurst and Z. Lipt, "KABOOM! A new suffix array basedalgorithm for clustering expressionon data", Bioinformatics ,Vol.27 ,2011 View Artical
Kaufman L and Rousseeuw PJ, "Finding groups in data: an introduction to cluster analysis", Wiley, New York ,1990 View Artical
Croux C, Gallopoulos E, Van AelstS andZha H, "Machine learning and robust data mining", Computer Statistics and Data Analysis ,Vol.52 ,2007 View Artical
Schynsa M, Haesbroeck G, CritchleyF RelaxMCD, "smooth optimization for the minimum covariance determinant estimator", Computer Statistics and Data Analysis ,Vol.54 ,2010 View Artical
M. A. Mahfouz, M. A. Ismail, "Efficient Soft Relational Clustering based on Randomized Search Applied to Selection of Bio-Basis fo", The Proceedings of the International IEEE Conferen ,2012 View Artical
H. ShararaM.A.Ismail,Biosoft, "?CORR: A novel algorithm for clustering gene expression data", Bioinformatics and Bioengineering Proceedings of t ,2007 View Artical
A. Baraldi, P. Blonda, "A survey of fuzzy clustering algorithms for pattern recognition.systems", Man, and Cybernetics, Part B, IEEE Transactions ,Vol.29 ,Issue 6 ,1999 View Artical
Ling-Hong Hung, and Ram Samudrala, "fast_protein_cluster: parallel and optimized clustering oflargescale protein modeling data", Bioinformatics ,2014 View Artical
J. C. Dunn, "Well separated clusters and fuzzy partitions", Journal of Cybernetics ,1974 View Artical
P. J. Rousseeuw, "Silhouettes: a graphical aid to the interpretation and validation of cluster analysis", Journal of Computational and Applied Mathematics ,Vol.20 ,1987 View Artical
R. Krishnapuram, J. M. Keller, "A possibilistic approach to clustering", Fuzzy Systems, IEEE Transactions ,1993 View Artical
R. Krishnapuram, J. M. Keller, "The possibilistic c-means algorithm:insights and recommendations", Fuzzy Systems, IEEE Transactions ,1996 View Artical