Discovery of Intrinsic Clustering in Spatial Data

[1]  Jiangshe Zhang,et al.  Identification of seismic activities through visualization and scale-space filtering , 2006 .

[2]  Yee Leung,et al.  Statistical Test for Local Patterns of Spatial Association , 2003 .

[3]  Hidetomo Ichihashi,et al.  Linear fuzzy clustering based on least absolute deviations , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

[4]  Jiawei Han,et al.  Geographic Data Mining and Knowledge Discovery , 2001 .

[5]  Ling Guan,et al.  A neural learning approach for adaptive image restoration using a fuzzy model-based network architecture , 2001, IEEE Trans. Neural Networks.

[6]  Andrew B. Lawson,et al.  Statistical Methods in Spatial Epidemiology , 2001 .

[7]  Yee Leung,et al.  Clustering by Scale-Space Filtering , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Jayanta Basak,et al.  A connectionist model for corner detection in binary and gray images , 2000, IEEE Trans. Neural Networks Learn. Syst..

[9]  Yee Leung,et al.  Testing for Spatial Autocorrelation among the Residuals of the Geographically Weighted Regression , 2000 .

[10]  Rita Noumeir,et al.  Cellular neural network for automated detection of geological lineaments on Radarsat images , 2000, IEEE Trans. Geosci. Remote. Sens..

[11]  Scott T. Acton,et al.  Scale space classification using area morphology , 2000, IEEE Trans. Image Process..

[12]  Yee Leung,et al.  Statistical Tests for Spatial Nonstationarity Based on the Geographically Weighted Regression Model , 2000 .

[13]  James M. Keller,et al.  Fuzzy Models and Algorithms for Pattern Recognition and Image Processing , 1999 .

[14]  Y. Kagan Is Earthquake Seismology a Hard, Quantitative Science? , 1999 .

[15]  Vipin Kumar,et al.  Chameleon: Hierarchical Clustering Using Dynamic Modeling , 1999, Computer.

[16]  Hans-Peter Kriegel,et al.  OPTICS: ordering points to identify the clustering structure , 1999, SIGMOD '99.

[17]  J. Lagarde,et al.  A point pattern analysis of the distribution of earthquakes in Normandy (France) , 1999, Bulletin of the Seismological Society of America.

[18]  Hichem Frigui,et al.  A Robust Competitive Clustering Algorithm With Applications in Computer Vision , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[19]  Lorenzo Bruzzone,et al.  A neural-statistical approach to multitemporal and multisource remote-sensing image classification , 1999, IEEE Trans. Geosci. Remote. Sens..

[20]  Daniel A. Keim,et al.  An Efficient Approach to Clustering in Large Multimedia Databases with Noise , 1998, KDD.

[21]  Aidong Zhang,et al.  WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases , 1998, VLDB.

[22]  David A. Landgrebe,et al.  Robust parameter estimation for mixture model , 1998, IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174).

[23]  Sudipto Guha,et al.  CURE: an efficient clustering algorithm for large databases , 1998, SIGMOD '98.

[24]  S. Sen,et al.  Clustering of relational data containing noise and outliers , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

[25]  Yee Leung,et al.  Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis , 1997, IEEE Trans. Neural Networks.

[26]  Jiong Yang,et al.  STING: A Statistical Information Grid Approach to Spatial Data Mining , 1997, VLDB.

[27]  Rajesh N. Davé,et al.  Robust clustering methods: a unified view , 1997, IEEE Trans. Fuzzy Syst..

[28]  E. Domany,et al.  Data Clustering Using a Model Granular Magnet , 1997, Neural Computation.

[29]  Stephen J. Roberts,et al.  Parametric and non-parametric unsupervised cluster analysis , 1997, Pattern Recognit..

[30]  Joakim Waldemark,et al.  An Automated Procedure for Cluster Analysis of Multivariate Satellite Data , 1997, Int. J. Neural Syst..

[31]  G. McLachlan,et al.  The EM algorithm and extensions , 1996 .

[32]  Chung-Nim Lee,et al.  Scale-Space Using Mathematical Morphology , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[33]  Xinhua Zhuang,et al.  Gaussian mixture density modeling, decomposition, and applications , 1996, IEEE Trans. Image Process..

[34]  Hans-Peter Kriegel,et al.  A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.

[35]  Tetsuo Asano,et al.  Variants for the Hough Transform for Line Detection , 1996, Comput. Geom..

[36]  Tian Zhang,et al.  BIRCH: an efficient data clustering method for very large databases , 1996, SIGMOD '96.

[37]  James C. Bezdek,et al.  On relational data versions of c-means algorithms , 1996, Pattern Recognit. Lett..

[38]  Evangelia Simantiraki,et al.  Unidimensional scaling: A linear programming approach minimizing absolute deviations , 1996 .

[39]  V. Pliner Metric unidimensional scaling and global optimization , 1996 .

[40]  Kenneth Rose,et al.  Hierarchical, Unsupervised Learning with Growing via Phase Transitions , 1996, Neural Computation.

[41]  Joydeep Ghosh,et al.  Scale-based clustering using the radial basis function network , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[42]  Jiawei Han,et al.  Efficient and Effective Clustering Methods for Spatial Data Mining , 1994, VLDB.

[43]  Isak Gath,et al.  Detection and Separation of Ring-Shaped Clusters Using Fuzzy Clustering , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[44]  James C. Bezdek,et al.  Nerf c-means: Non-Euclidean relational fuzzy clustering , 1994, Pattern Recognit..

[45]  A. Raftery,et al.  Model-based Gaussian and non-Gaussian clustering , 1993 .

[46]  James M. Keller,et al.  A possibilistic approach to clustering , 1993, IEEE Trans. Fuzzy Syst..

[47]  Jack-Gérard Postaire,et al.  Cluster Analysis by Binary Morphology , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[48]  Kenneth L. Clarkson,et al.  Fast linear expected-time algorithms for computing maxima and convex hulls , 1993, SODA '90.

[49]  G. Celeux,et al.  A Classification EM algorithm for clustering and two stochastic versions , 1992 .

[50]  Narendra Ahuja,et al.  Gross motion planning—a survey , 1992, CSUR.

[51]  Mikhail J. Atallah,et al.  Parallel techniques for computational geometry , 1992, Proc. IEEE.

[52]  K. Chidananda Gowda,et al.  Symbolic clustering using a new similarity measure , 1992, IEEE Trans. Syst. Man Cybern..

[53]  Rajesh N. Davé,et al.  Characterization and detection of noise in clustering , 1991, Pattern Recognit. Lett..

[54]  James C. Bezdek,et al.  Numerical comparison of the RFCM and AP algorithms for clustering relational data , 1991 .

[55]  Peter J. Rousseeuw,et al.  Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .

[56]  H. Grubmüller,et al.  Self-organization of associative memory and pattern classification: recurrent signal processing on topological feature maps , 1990, Biological Cybernetics.

[57]  Michael Spann,et al.  A new approach to clustering , 1990, Pattern Recognit..

[58]  Geoffrey C. Fox,et al.  A deterministic annealing approach to clustering , 1990, Pattern Recognit. Lett..

[59]  D. Salesin,et al.  Constructing strongly convex approximate hulls with inaccurate primitives , 1990, Algorithmica.

[60]  Robert Hummel,et al.  Reconstructions from zero crossings in scale space , 1989, IEEE Trans. Acoust. Speech Signal Process..

[61]  E. Wennmyr,et al.  A convex hull algorithm for neural networks , 1989 .

[62]  Baruch Schieber,et al.  Fast geometric approximation techniques and geometric embedding problems , 1989, SCG '89.

[63]  Giuseppe Arbia,et al.  Spatial Data Configuration in Statistical Analysis of Regional Economic and Related Problems , 1989 .

[64]  Geoffrey J. McLachlan,et al.  Mixture models : inference and applications to clustering , 1989 .

[65]  Timothy M. Lutz,et al.  Structural control of igneous complexes and kimberlites: a new statistical method , 1989 .

[66]  Elwood T. Olsen,et al.  L1 and L∞ minimization via a variant of Karmarkar's algorithm , 1989, IEEE Trans. Acoust. Speech Signal Process..

[67]  Franco P. Preparata,et al.  Computational Geometry , 1985, Texts and Monographs in Computer Science.

[68]  Y. Leung Towards a Flexible Framework for Regionalization , 1984 .

[69]  Richard A. Johnson,et al.  Applied Multivariate Statistical Analysis , 1983 .

[70]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[71]  J. Bezdek,et al.  DETECTION AND CHARACTERIZATION OF CLUSTER SUBSTRUCTURE I. LINEAR STRUCTURE: FUZZY c-LINES* , 1981 .

[72]  Franco P. Preparata,et al.  An optimal real-time algorithm for planar convex hulls , 1979, CACM.

[73]  C. Porac,et al.  Sensation and Perception , 1979 .

[74]  R. Gorden,et al.  Unidimensional Scaling of Social Variables: Concepts and Procedures , 1978 .

[75]  F. Preparata,et al.  Convex hulls of finite sets of points in two and three dimensions , 1977, CACM.

[76]  Anil K. Jain,et al.  Clustering techniques: The user's dilemma , 1976, Pattern Recognit..

[77]  L. Hubert Approximate Evaluation Techniques for the Single-Link and Complete-Link Hierarchical Clustering Procedures , 1974 .

[78]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[79]  Michael R. Anderberg,et al.  Cluster Analysis for Applications , 1973 .

[80]  Ronald L. Graham,et al.  An Efficient Algorithm for Determining the Convex Hull of a Finite Planar Set , 1972, Inf. Process. Lett..

[81]  L. Guttman A general nonmetric technique for finding the smallest coordinate space for a configuration of points , 1968 .

[82]  S. C. Johnson Hierarchical clustering schemes , 1967, Psychometrika.

[83]  G H Ball,et al.  A clustering technique for summarizing multivariate data. , 1967, Behavioral science.

[84]  J. H. Ward Hierarchical Grouping to Optimize an Objective Function , 1963 .

[85]  Yee Leung,et al.  Knowledge acquisition in incomplete information systems: A rough set approach , 2006, Eur. J. Oper. Res..

[86]  Chenghu Zhou,et al.  A Mathematical Morphology Based Scale Space Method for the Mining of Linear Features in Geographic Data , 2005, Data Mining and Knowledge Discovery.

[87]  J. Koenderink The structure of images , 2004, Biological Cybernetics.

[88]  Yee Leung,et al.  A New Method for Mining Regression Classes in Large Data Sets , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[89]  Yee Leung,et al.  Neural and Evolutionary Computation Methods for Spatial Classification and Knowledge Acquisition , 2001 .

[90]  Kin-Nam Lau,et al.  A Nonlinear Programming Approach to Metric Unidimensional Scaling , 1998 .

[91]  Yiu-Fai Wong,et al.  Clustering Data by Melting , 1993, Neural Computation.

[92]  Peng Zhang,et al.  A Highly Robust Estimator Through Partially Likelihood Function Modeling and Its Application in Computer Vision , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[93]  Yan Y. Kagan,et al.  Long-term earthquake clustering , 1991 .

[94]  James C. Bezdek,et al.  Relational duals of the c-means clustering algorithms , 1989, Pattern Recognit..

[95]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[96]  Anil K. Jain,et al.  Algorithms for Clustering Data , 1988 .

[97]  Haluk Derin,et al.  Estimating Components of Univariate Gaussian Mixtures Using Prony's Method , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[98]  Andrew P. Witkin,et al.  Uniqueness of the Gaussian Kernel for Scale-Space Filtering , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[99]  Andrew P. Witkin,et al.  Scale-Space Filtering , 1983, IJCAI.

[100]  James C. Bezdek,et al.  A Convergence Theorem for the Fuzzy ISODATA Clustering Algorithms , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[101]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[102]  J. MacQueen Some methods for classification and analysis of multivariate observations , 1967 .

[103]  Sabine Landau,et al.  Cluster Analysis , 1974 .