Graph ambiguity
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[1] Vipin Kumar,et al. Multilevel k-way hypergraph partitioning , 1999, DAC '99.
[2] Bart Kosko,et al. Fuzzy entropy and conditioning , 1986, Inf. Sci..
[3] Santosh S. Vempala,et al. On clusterings: Good, bad and spectral , 2004, JACM.
[4] Xuelong Li,et al. A survey of graph edit distance , 2010, Pattern Analysis and Applications.
[5] Fakhri Karray,et al. Fuzzy entropy: a brief survey , 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).
[6] Charu C. Aggarwal,et al. Managing and Mining Graph Data , 2010, Managing and Mining Graph Data.
[7] Robert P. W. Duin,et al. The Dissimilarity Representation for Pattern Recognition - Foundations and Applications , 2005, Series in Machine Perception and Artificial Intelligence.
[8] T. S. Evans,et al. Complex networks , 2004 .
[9] Hans Rademacher,et al. On the Partition Function p(n) , 1938 .
[10] V. Latora,et al. Complex networks: Structure and dynamics , 2006 .
[11] Chen Gang,et al. Discussion on New Integral Entropy and Energy of Fuzzy Sets , 2009, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.
[12] Chen Jianbin,et al. A Graph Partition-Based Soft Clustering Algorithm , 2008, 2008 Second International Symposium on Intelligent Information Technology Application.
[13] Ken Ono,et al. Algebraic formulas for the coefficients of half-integral weight harmonic weak Maass forms , 2011, 1104.1182.
[14] Claudio Carpineto,et al. Full-Subtopic Retrieval with Keyphrase-Based Search Results Clustering , 2009, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology.
[15] Antonello Rizzi,et al. Automatic Classification of Graphs by Symbolic Histograms , 2007 .
[16] Ulrik Brandes,et al. Engineering graph clustering: Models and experimental evaluation , 2008, JEAL.
[17] Alexander J. Smola,et al. Learning with Kernels: support vector machines, regularization, optimization, and beyond , 2001, Adaptive computation and machine learning series.
[18] R. A. Leibler,et al. On Information and Sufficiency , 1951 .
[19] Simon Parsons,et al. Principles of Data Mining by David J. Hand, Heikki Mannila and Padhraic Smyth, MIT Press, 546 pp., £34.50, ISBN 0-262-08290-X , 2004, The Knowledge Engineering Review.
[20] Lorenzo Livi,et al. The graph matching problem , 2012, Pattern Analysis and Applications.
[21] Ronald L. Rivest,et al. Introduction to Algorithms , 1990 .
[22] Kaspar Riesen,et al. Graph Classification and Clustering Based on Vector Space Embedding , 2010, Series in Machine Perception and Artificial Intelligence.
[23] R. Guimerà,et al. Functional cartography of complex metabolic networks , 2005, Nature.
[24] Klaus Obermayer,et al. Structure Spaces , 2009, J. Mach. Learn. Res..
[25] Lorenzo Livi,et al. Graph Recognition by Seriation and Frequent Substructures Mining , 2012, ICPRAM.
[26] Jiu-Lun Fan,et al. Some new fuzzy entropy formulas , 2002, Fuzzy Sets Syst..
[27] M. Aizerman,et al. Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning , 1964 .
[28] Nello Cristianini,et al. Kernel Methods for Pattern Analysis , 2003, ICTAI.
[29] Lorenzo Livi,et al. Inexact Graph Matching through Graph Coverage , 2012, ICPRAM.
[30] Patrick J. F. Groenen,et al. Modern Multidimensional Scaling: Theory and Applications , 2003 .
[31] Sergey Brin,et al. The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.
[32] Ulrik Brandes,et al. On Finding Graph Clusterings with Maximum Modularity , 2007, WG.
[33] Nikhil R. Pal,et al. Some new information measures for fuzzy sets , 1993, Inf. Sci..
[34] Lotfi A. Zadeh,et al. Fuzzy Sets , 1996, Inf. Control..
[35] Sankar K. Pal,et al. Higher order fuzzy entropy and hybrid entropy of a set , 1992, Inf. Sci..
[36] U. Brandes. A faster algorithm for betweenness centrality , 2001 .
[37] Zhongzhi Shi,et al. Studies on Fuzzy Information Measures , 2007, FSKD.
[38] A. Rizzi,et al. Automatic Image Classification by a Granular Computing Approach , 2006, 2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing.
[39] Bart Kosko,et al. Addition as fuzzy mutual entropy , 1993, Inf. Sci..
[40] Florian Dörfler,et al. Kron Reduction of Graphs With Applications to Electrical Networks , 2011, IEEE Transactions on Circuits and Systems I: Regular Papers.
[41] G. Klir,et al. ON MEASURES OF FUZZINESS AND FUZZY COMPLEMENTS , 1982 .
[42] R. Yager. ON THE MEASURE OF FUZZINESS AND NEGATION Part I: Membership in the Unit Interval , 1979 .
[43] Xinbo Gao,et al. HMM-based graph edit distance for image indexing , 2008 .
[44] Eric P. Xing,et al. Nonextensive Information Theoretic Kernels on Measures , 2009, J. Mach. Learn. Res..
[45] D. S. Hooda,et al. On generalized measures of fuzzy entropy , 2004 .
[46] Padhraic Smyth,et al. Algorithms for estimating relative importance in networks , 2003, KDD '03.
[47] Settimo Termini,et al. A Definition of a Nonprobabilistic Entropy in the Setting of Fuzzy Sets Theory , 1972, Inf. Control..
[48] A. Kaufman,et al. Introduction to the Theory of Fuzzy Subsets. , 1977 .
[49] G. Hardy,et al. Asymptotic Formulaæ in Combinatory Analysis , 1918 .
[50] Stanley Wasserman,et al. Social Network Analysis: Methods and Applications , 1994 .
[51] Michael Sipser,et al. Introduction to the Theory of Computation , 1996, SIGA.
[52] G. Klir. Uncertainty and Information: Foundations of Generalized Information Theory , 2005 .
[53] Jon Kleinberg,et al. Authoritative sources in a hyperlinked environment , 1999, SODA '98.
[54] An-Ping Zeng,et al. Decomposition of metabolic network into functional modules based on the global connectivity structure of reaction graph , 2004, Bioinform..
[55] Jose C. Principe,et al. Information Theoretic Learning - Renyi's Entropy and Kernel Perspectives , 2010, Information Theoretic Learning.
[56] M. Zelen,et al. Rethinking centrality: Methods and examples☆ , 1989 .
[57] F. Chung. Laplacians and the Cheeger Inequality for Directed Graphs , 2005 .
[58] M. J. Frank,et al. Associative Functions: Triangular Norms And Copulas , 2006 .
[59] L. Zadeh. Probability measures of Fuzzy events , 1968 .
[60] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[61] Meilin Wen,et al. The entropy of fuzzy vectors , 2008, Comput. Math. Appl..
[62] Xiu-Gang Shang,et al. A note on fuzzy information measures , 1997, Pattern Recognit. Lett..
[63] G. Karypis,et al. Multi-Constraint Mesh Partitioning for Contact/Impact Computations , 2003, ACM/IEEE SC 2003 Conference (SC'03).
[64] Mário A. T. Figueiredo,et al. Generative Embeddings based on Rician Mixtures - Application to Kernel-based Discriminative Classification of Magnetic Resonance Images , 2012, ICPRAM.
[65] S. V. N. Vishwanathan,et al. Graph kernels , 2007 .
[66] G. Rota. The Number of Partitions of a Set , 1964 .
[67] H. Sharp. Cardinality of finite topologies , 1968 .
[68] C. E. SHANNON,et al. A mathematical theory of communication , 1948, MOCO.
[69] Hans-Peter Kriegel,et al. Protein function prediction via graph kernels , 2005, ISMB.
[70] Ulrik Brandes,et al. Experiments on Graph Clustering Algorithms , 2003, ESA.
[71] Horst Bunke,et al. Bridging the Gap between Graph Edit Distance and Kernel Machines , 2007, Series in Machine Perception and Artificial Intelligence.
[72] A. Rényi. On Measures of Entropy and Information , 1961 .
[73] Fan Chung,et al. Spectral Graph Theory , 1996 .
[74] W. Pedrycz,et al. An introduction to fuzzy sets : analysis and design , 1998 .