Validity studies in clustering methodologies
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[1] Anil K. Jain,et al. An Intrinsic Dimensionality Estimator from Near-Neighbor Information , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] S. Zahl. A Comparison of Three Methods for the Analysis of Spatial Pattern , 1977 .
[3] R. Saunders,et al. Poisson limits for a clustering model of strauss , 1977, Journal of Applied Probability.
[4] A. A. Torn. Cluster Analysis Using Seed Points and Density-Determined Hyperspheres as an Aid to Global Optimization , 1977, IEEE Transactions on Systems, Man, and Cybernetics.
[5] Robert F. White,et al. Probabilistic Clustering for Attributes of Mixed Type with Biopharmaceutical Applications , 1977 .
[6] P. Sneath. A method for testing the distinctness of clusters: A test of the disjunction of two clusters in Euclidean space as measured by their overlap , 1977 .
[7] W. H. Day. Validity of clusters formed by graph-theoretic cluster methods , 1977 .
[8] P. Arabie. Clustering representations of group overlap , 1977 .
[9] S. Sclove. Population mixture models and clustering algorithms , 1977 .
[10] L. Hubert,et al. A Graph-Theoretic Approach to Goodness-of-Fit in Complete-Link Hierarchical Clustering , 1976 .
[11] L. Hubert,et al. Quadratic assignment as a general data analysis strategy. , 1976 .
[12] Anil K. Jain,et al. Clustering techniques: The user's dilemma , 1976, Pattern Recognit..
[13] Keinosuke Fukunaga,et al. A Graph-Theoretic Approach to Nonparametric Cluster Analysis , 1976, IEEE Transactions on Computers.
[14] F. Kelly,et al. A note on Strauss's model for clustering , 1976 .
[15] R. F. Ling,et al. Probability Tables for Cluster Analysis Based on a Theory of Random Graphs , 1976 .
[16] Ashok K. Agrawala,et al. An Approach to the Workload Characterization Problem , 1976, Computer.
[17] Roger K. Blashfield,et al. Mixture model tests of cluster analysis: Accuracy of four agglomerative hierarchical methods. , 1976 .
[18] R. J. Shanley,et al. Delineation and analysis of clusters in orientation data , 1976 .
[19] J. Orford. Implementation of criteria for partitioning a dendrogram , 1976 .
[20] Josef Kittler,et al. A locally sensitive method for cluster analysis , 1976, Pattern Recognit..
[21] D. H. Card,et al. A Method of Using Cluster Analysis to Study Statistical Dependence in Multivariate Data , 1975, IEEE Transactions on Computers.
[22] L. Fisher,et al. 391: A Monte Carlo Comparison of Six Clustering Procedures , 1975 .
[23] D. J. Strauss. A model for clustering , 1975 .
[24] L. Hubert,et al. Measuring the Power of Hierarchical Cluster Analysis , 1975 .
[25] R. F. Ling. An exact probability distribution on the connectivity of random graphs , 1975 .
[26] J. Hartigan. Clustering Algorithms , 1975 .
[27] R R Sokal,et al. Classification: Purposes, Principles, Progress, Prospects , 1974, Science.
[28] L. Hubert. Approximate Evaluation Techniques for the Single-Link and Complete-Link Hierarchical Clustering Procedures , 1974 .
[29] L. Hubert. Some applications of graph theory to clustering , 1974 .
[30] F. Baker. Stability of Two Hierarchical Grouping Techniques Case I: Sensitivity to Data Errors , 1974 .
[31] R. Dubes,et al. Invariance of talkers' choral spectra , 1974 .
[32] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[33] Michael R. Anderberg,et al. Cluster Analysis for Applications , 1973 .
[34] L. Hubert,et al. Data analysis and the connectivity of random graphs , 1973 .
[35] D. A. Huffman,et al. Development of New Pattern-Recognition Methods. , 1973 .
[36] Ray A. Jarvis,et al. Clustering Using a Similarity Measure Based on Shared Near Neighbors , 1973, IEEE Transactions on Computers.
[37] R. F. Ling. The Expected Number of Components in Random Linear Graphs , 1973 .
[38] William E. Wright,et al. A formalization of cluster analysis , 1973, Pattern Recognit..
[39] R. F. Ling. A Probability Theory of Cluster Analysis , 1973 .
[40] L. Hubert. Min and max hierarchical clustering using asymmetric similarity measures , 1973 .
[41] L. Hubert. Monotone invariant clustering procedures , 1973 .
[42] J. Strauss,et al. The Use of Clustering Techniques for the Classification of Psychiatric Patients , 1972, British Journal of Psychiatry.
[43] J. Bezdek. Cluster Validity with Fuzzy Sets , 1973 .
[44] M. Kendall. THE BASIC PROBLEMS OF CLUSTER ANALYSIS , 1973 .
[45] L. Hubert. Some extensions of Johnson's hierarchical clustering algorithms , 1972 .
[46] John C. Ogilvie,et al. Evaluation of hierarchical grouping techniques; a preliminary study , 1972, Comput. J..
[47] Robert F. Ling,et al. On the theory and construction of k-clusters , 1972, Comput. J..
[48] Anthony N. Mucciardi,et al. An Automatic Clustering Algorithm and Its Properties in High-Dimensional Spaces , 1972, IEEE Trans. Syst. Man Cybern..
[49] William M. Rand,et al. Objective Criteria for the Evaluation of Clustering Methods , 1971 .
[50] A. Scott,et al. Clustering methods based on likelihood ratio criteria. , 1971 .
[51] R. M. Cormack,et al. A Review of Classification , 1971 .
[52] Amnon Rapoport,et al. Structures in the subjective lexicon , 1971 .
[53] Charles T. Zahn,et al. Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters , 1971, IEEE Transactions on Computers.
[54] Martin D. Levine,et al. An Algorithm for Detecting Unimodal Fuzzy Sets and Its Application as a Clustering Technique , 1970, IEEE Transactions on Computers.
[55] J. Wolfe. PATTERN CLUSTERING BY MULTIVARIATE MIXTURE ANALYSIS. , 1970, Multivariate behavioral research.
[56] F. Rohlf. Adaptive Hierarchical Clustering Schemes , 1970 .
[57] J. Hartigan,et al. Percentage Points of a Test for Clusters , 1969 .
[58] Malcolm E. Turner,et al. CREDIBILITY AND CLUSTER , 1969 .
[59] King-Sun Fu,et al. A Nonparametric Partitioning Procedure for Pattern Classification , 1969, IEEE Transactions on Computers.
[60] F. Rohlf,et al. Tests for Hierarchical Structure in Random Data Sets , 1968 .
[61] H. P. Friedman,et al. On Some Invariant Criteria for Grouping Data , 1967 .
[62] Louis L. McQuitty,et al. A Mutual Development of Some Typological Theories and Pattern-Analytic Methods , 1967 .
[63] J. Rubin. Optimal classification into groups: an approach for solving the taxonomy problem. , 1967, Journal of theoretical biology.
[64] G. Estabrook. A mathematical model in graph theory for biological classification. , 1966, Journal of theoretical biology.
[65] G. Sebestyen,et al. An Algorithm for Non-Parametric Pattern Recognition , 1966, IEEE Trans. Electron. Comput..
[66] D. Rogers,et al. A Graph Theory Model for Systematic Biology, with an Example for the Oncidiinae (Orchidaceae) , 1966 .
[67] Geoffrey H. Ball,et al. Data analysis in the social sciences: what about the details? , 1965, AFIPS '65 (Fall, part I).
[68] Raymond E. Bonner,et al. On Some Clustering Techniques , 1964, IBM J. Res. Dev..
[69] G. Uhlenbeck,et al. On the Theory of the Virial Development of the Equation of State of Monoatomic Gases , 1953 .
[70] Anil K. Jain,et al. MODELS AND METHODS IN CLUSTER VALIDITY. , 1800 .