Clustering and classification methods
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[1] Harvey A. Skinner,et al. Differentiating the Contribution of Elevation, Scatter and Shape in Profile Similarity , 1978 .
[2] J. A. Hartigan,et al. A k-means clustering algorithm , 1979 .
[3] L. Fisher,et al. 391: A Monte Carlo Comparison of Six Clustering Procedures , 1975 .
[4] G. W. Milligan,et al. A Review Of Monte Carlo Tests Of Cluster Analysis. , 1981, Multivariate behavioral research.
[5] M. C. Cooper,et al. The effect of measurement error on determining the number of clusters in clusteranalysis , 1988 .
[6] G. W. Milligan,et al. A study of standardization of variables in cluster analysis , 1988 .
[7] G. W. Milligan,et al. A validation study of a variable weighting algorithm for cluster analysis , 1989 .
[8] E. Fowlkes,et al. Variable selection in clustering , 1988 .
[9] J. Breckenridge. Replicating Cluster Analysis: Method, Consistency, and Validity. , 1989, Multivariate behavioral research.
[10] G. W. Milligan,et al. Mapping Influence Regions in Heirarchical Clustering. , 1995, Multivariate behavioral research.
[11] Roger K. Blashfield,et al. Mixture model tests of cluster analysis: Accuracy of four agglomerative hierarchical methods. , 1976 .
[12] W. Welch. Algorithmic complexity: three NP- hard problems in computational statistics , 1982 .
[13] G. W. Milligan,et al. A Two-Stage Clustering Algorithm with Robust Recovery Characteristics , 1980 .
[14] R. Mojena,et al. Hierarchical Grouping Methods and Stopping Rules: An Evaluation , 1977, Comput. J..
[15] J. V. Ness,et al. Admissible clustering procedures , 1971 .
[16] G. S. Johnson,et al. An Information-Intensive Approach to the Molecular Pharmacology of Cancer , 1997, Science.
[17] Richard C. Dubes,et al. Cluster validity profiles , 1982, Pattern Recognit..
[18] R. Blashfield,et al. A Nearest-Centroid Technique for Evaluating the Minimum-Variance Clustering Procedure. , 1980 .
[19] P. Arabie,et al. Indclus: An individual differences generalization of the adclus model and the mapclus algorithm , 1983 .
[20] P. Brucker. On the Complexity of Clustering Problems , 1978 .
[21] G. Soete. OVWTRE: A program for optimal variable weighting for ultrametric and additive tree fitting , 1988 .
[22] Adrian E. Raftery,et al. How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis , 1998, Comput. J..
[23] Akinori Okada. A REVIEW OF CLUSTER ANALYSIS RESEARCH IN JAPAN , 1996 .
[24] G. W. Milligan,et al. A monte carlo study of thirty internal criterion measures for cluster analysis , 1981 .
[25] A. D. Gordon. A Review of Hierarchical Classification , 1987 .
[26] J. H. Ward. Hierarchical Grouping to Optimize an Objective Function , 1963 .
[27] Vladimir Makarenkov,et al. Optimal Variable Weighting for Ultrametric and Additive Trees and K-means Partitioning: Methods and Software , 2001, J. Classif..
[28] G. Soete. Optimal variable weighting for ultrametric and additive tree clustering , 1986 .
[29] J Zubin,et al. ON THE METHODS AND THEORY OF CLUSTERING. , 1969, Multivariate behavioral research.
[30] G. W. Milligan,et al. A Study of the Beta-Flexible Clustering Method. , 1989, Multivariate behavioral research.
[31] W. T. Williams,et al. A Generalized Sorting Strategy for Computer Classifications , 1966, Nature.
[32] G. W. Milligan,et al. A NOTE ON PROCEDURES FOR TESTING THE QUALITY OF A CLUSTERING OF A SET OF OBJECTS , 1980 .
[33] Charles K. Bayne,et al. Monte Carlo comparisons of selected clustering procedures , 1980, Pattern Recognit..
[34] Vipin Kumar,et al. Chameleon: Hierarchical Clustering Using Dynamic Modeling , 1999, Computer.
[35] D. Duffy,et al. A permutation-based algorithm for block clustering , 1991 .
[36] G. W. Milligan,et al. An examination of procedures for determining the number of clusters in a data set , 1985 .
[37] A. Tversky,et al. Additive similarity trees , 1977 .
[38] G. N. Lance,et al. A General Theory of Classificatory Sorting Strategies: 1. Hierarchical Systems , 1967, Comput. J..
[39] Geert De Soete,et al. A least squares algorithm for fitting an ultrametric tree to a dissimilarity matrix , 1984, Pattern Recognit. Lett..
[40] Lawrence Hubert,et al. The comparison and fitting of given classification schemes , 1977 .
[41] G. Milligan,et al. K-Means Clustering Methods with Influence Detection , 1996 .
[42] G. W. Milligan,et al. The validation of four ultrametric clustering algorithms , 1980, Pattern Recognit..
[43] J. Hartigan. REPRESENTATION OF SIMILARITY MATRICES BY TREES , 1967 .
[44] G. W. Milligan,et al. Measuring the influence of individual data points in a cluster analysis , 1996 .
[45] P. Green,et al. A preliminary study of optimal variable weighting in k-means clustering , 1990 .
[46] Anil K. Jain,et al. Validity studies in clustering methodologies , 1979, Pattern Recognit..
[47] J. Wolfe. PATTERN CLUSTERING BY MULTIVARIATE MIXTURE ANALYSIS. , 1970, Multivariate behavioral research.
[48] Peter J. Rousseeuw,et al. Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .
[49] G. W. Milligan,et al. Methodology Review: Clustering Methods , 1987 .
[50] J. Carroll,et al. Synthesized clustering: A method for amalgamating alternative clustering bases with differential weighting of variables , 1984 .
[51] D. F. Andrews,et al. PLOTS OF HIGH-DIMENSIONAL DATA , 1972 .
[52] J. Hartigan,et al. Representing Points in Many Dimensions by Trees and Castles , 1981 .
[53] D Scheibler,et al. Monte Carlo Tests of the Accuracy of Cluster Analysis Algorithms: A Comparison of Hierarchical and Nonhierarchical Methods. , 1985, Multivariate behavioral research.
[54] A. Tversky,et al. Spatial versus tree representations of proximity data , 1982 .
[55] V. E. Kane,et al. Estimating the number of groups and group membership using simulation cluster analysis , 1982, Pattern Recognit..
[56] Glenn W. Milligan,et al. Hierarchical Clustering Algorithms with Influence Detection , 1995 .
[57] G. W. Milligan,et al. A Comparison of Two Approaches to Beta-Flexible Clustering. , 1992, Multivariate behavioral research.
[58] M. Lorr,et al. Personality profiles of police candidates. , 1994, Journal of clinical psychology.
[59] P. Arabie,et al. The interface among data analysis, marketing, and representation of knowledge , 1988 .
[60] H. Lee Swanson,et al. Effects of Dynamic Testing on the Classification of Learning Disabilities: The Predictive and Discriminant Validity of the Swanson-Cognitive Processing Test (S-CPT) , 1995 .
[61] Chockalingam Viswesvaran,et al. A Meta-Analytic Method for Testing Hypotheses about Clusters of Decision Makers , 1994 .
[62] Steven Salzberg,et al. On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach , 1997, Data Mining and Knowledge Discovery.
[63] C. Mallows,et al. A Method for Comparing Two Hierarchical Clusterings , 1983 .
[64] L C Morey,et al. A Comparison of Cluster Analysis Techniques Withing a Sequential Validation Framework. , 1983, Multivariate behavioral research.
[65] I. Mechelen,et al. Structural analysis of the intension and extension of semantic concepts , 1994 .
[66] Irving John Good. C129. An index of separateness of clusters and a permutation test for its statistical significance , 1982 .
[67] E. Rothkopf. A measure of stimulus similarity and errors in some paired-associate learning tasks. , 1957, Journal of experimental psychology.
[68] H. P. Friedman,et al. On Some Invariant Criteria for Grouping Data , 1967 .
[69] C. Edelbrock. Mixture Model Tests Of Hierarchical Clustering Algorithms: The Problem Of Classifying Everybody. , 1979, Multivariate behavioral research.
[70] R N SHEPARD,et al. Analysis of Proximities as a Technique for the Study of Information Processing in Man1 , 1963, Human factors.
[71] G. W. Milligan,et al. An examination of the effect of six types of error perturbation on fifteen clustering algorithms , 1980 .
[72] C. Edelbrock,et al. Hierarchical Cluster Analysis Using Intraclass Correlations: A Mixture Model Study. , 1980, Multivariate behavioral research.
[73] M. A. Wong,et al. A Hybrid Clustering Method for Identifying High-Density Clusters , 1982 .