Preserving nearest neighbor consistency in cluster analysis

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[1]  George C Tseng,et al.  Tight Clustering: A Resampling‐Based Approach for Identifying Stable and Tight Patterns in Data , 2005, Biometrics.

[2]  Ali S. Hadi,et al.  Finding Groups in Data: An Introduction to Chster Analysis , 1991 .

[3]  Anil K. Jain,et al.  Data clustering: a review , 1999, CSUR.

[4]  Girish N. Punj,et al.  Cluster Analysis in Marketing Research: Review and Suggestions for Application , 1983 .

[5]  C. Sugnet,et al.  Knowledge-based Analysis of Mi roarray Gene Expression Data , 2007 .

[6]  Sooyoung Kim,et al.  Classification-based collaborative filtering using market basket data , 2005, Expert Syst. Appl..

[7]  Ana L. N. Fred,et al.  Finding Consistent Clusters in Data Partitions , 2001, Multiple Classifier Systems.

[8]  Hrishikesh D. Vinod Mathematica.  Integer Programming and the Theory of Grouping , 1969 .

[9]  David L. Wallace,et al.  A Method for Comparing Two Hierarchical Clusterings: Comment , 1983 .

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

[11]  A. Hardy.  On the number of clusters , 1996 .

[12]  William M. Rand,et al.  Objective Criteria for the Evaluation of Clustering Methods , 1971 .

[13]  Eytan Domany,et al.  Resampling Method for Unsupervised Estimation of Cluster Validity , 2001, Neural Computation.

[14]  D Haussler,et al.  Knowledge-based analysis of microarray gene expression data by using support vector machines. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[15]  Chris H. Q. Ding,et al.  K-nearest-neighbor consistency in data clustering: incorporating local information into global optimization , 2004, SAC '04.

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

[17]  Isabelle Guyon,et al.  A Stability Based Method for Discovering Structure in Clustered Data , 2001, Pacific Symposium on Biocomputing.

[18]  M. V. Velzen,et al.  Self-organizing maps , 2007 .

[19]  Rainer Fuchs,et al.  Analysis of temporal gene expression profiles: clustering by simulated annealing and determining the optimal number of clusters , 2001, Bioinform..

[20]  Ching Y. Suen,et al.  Application of majority voting to pattern recognition: an analysis of its behavior and performance , 1997, IEEE Trans. Syst. Man Cybern. Part A.

[21]  Andrew W. Moore,et al.  X-means: Extending K-means with Efficient Estimation of the Number of Clusters , 2000, ICML.

[22]  Philip Chan,et al.  Determining the number of clusters/segments in hierarchical clustering/segmentation algorithms , 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.

[23]  David T. Taylor,et al.  Market Segmentation of Wyoming Snowmobilers , 2001 .

[24]  David Haussler,et al.  Convolution kernels on discrete structures , 1999 .

[25]  Arantza Casillas,et al.  Document Clustering into an Unknown Number of Clusters Using a Genetic Algorithm , 2003, TSD.

[26]  Ravi Kothari,et al.  On finding the number of clusters , 1999, Pattern Recognit. Lett..

[27]  Jiuh-Biing Sheu,et al.  A fuzzy clustering-based approach to automatic freeway incident detection and characterization , 2002, Fuzzy Sets Syst..

[28]  atherine,et al.  Finding the number of clusters in a data set : An information theoretic approach C , 2003 .

[29]  Gérard Govaert,et al.  Gaussian parsimonious clustering models , 1995, Pattern Recognit..

[30]  Leyuan Shi,et al.  Nested Partitions Method, Theory and Applications , 2008 .

[31]  Leo Breiman,et al.  Bagging Predictors , 1996, Machine Learning.

[32]  S. Dudoit,et al.  A prediction-based resampling method for estimating the number of clusters in a dataset , 2002, Genome Biology.

[33]  Jerry L Prince,et al.  Current methods in medical image segmentation. , 2000, Annual review of biomedical engineering.

[34]  W. Krzanowski,et al.  A Criterion for Determining the Number of Groups in a Data Set Using Sum-of-Squares Clustering , 1988 .

[35]  Azriel Rosenfeld,et al.  Computer Vision , 1988, Adv. Comput..

[36]  Salvatore J. Stolfo,et al.  Distributed data mining in credit card fraud detection , 1999, IEEE Intell. Syst..

[37]  L. Collins,et al.  Omega: A General Formulation of the Rand Index of Cluster Recovery Suitable for Non-disjoint Solutions. , 1988, Multivariate behavioral research.

[38]  Hong Yan,et al.  Image segmentation based on adaptive cluster prototype estimation , 2005, IEEE Transactions on Fuzzy Systems.

[39]  J. Yang,et al.  An optimization approach to partitional data clustering , 2009, J. Oper. Res. Soc..

[40]  J. Kittler.  Pattern Classification: Fusion of Information , 1999 .

[41]  Tomasz Imielinski,et al.  Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.

[42]  Xiaonan Li,et al.  Operations research and data mining , 2008, Eur. J. Oper. Res..

[43]  Jean Ponce,et al.  Computer Vision: A Modern Approach , 2002 .

[44]  Dana H. Ballard,et al.  Computer Vision , 1982 .

[45]  Anil K. Jain,et al.  Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[46]  T. Caliński,et al.  A dendrite method for cluster analysis , 1974 .

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

[48]  Shengrui Wang,et al.  FCM-Based Model Selection Algorithms for Determining the Number of Clusters , 2004, Pattern Recognit..

[49]  Vincent Kanade,et al.  Clustering Algorithms , 2021, Wireless RF Energy Transfer in the Massive IoT Era.

[50]  Nitesh V. Chawla,et al.  SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..

[51]  C. Mallows,et al.  A Method for Comparing Two Hierarchical Clusterings , 1983 .

[52]  Ramakrishnan Srikant,et al.  Fast Algorithms for Mining Association Rules in Large Databases , 1994, VLDB.

[53]  Michel Herbin,et al.  Estimation of the number of clusters and influence zones , 2001, Pattern Recognit. Lett..

[54]  Adrian E. Raftery,et al.  Model-Based Clustering, Discriminant Analysis, and Density Estimation , 2002 .

[55]  Robert Tibshirani,et al.  Estimating the number of clusters in a data set via the gap statistic , 2000 .

[56]  Jiri Matas,et al.  On Combining Classifiers , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[57]  Shyam Varan Nath,et al.  Crime Pattern Detection Using Data Mining , 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops.

[58]  Dani Lischinski,et al.  A Closed-Form Solution to Natural Image Matting , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[59]  Nasser Kehtarnavaz,et al.  Determining number of clusters and prototype locations via multi-scale clustering , 1998, Pattern Recognit. Lett..

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

[61]  Jaekyung Yang,et al.  Intelligent Partitioning for Feature Selection , 2005, INFORMS J. Comput..