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Book Reviews

Algorithms for Clustering Data

Pages 227-229 | Published online: 12 Mar 2012

REFERENCES

  • Anderberg , M. R. 1973 . Cluster Analysis for Applications New York : Academic Press. .
  • Art , D. , Gnanadesikan , R. and Kettenring , R. 1982 . “Data-Based Metrics for Cluster Analysis,” . Utilitas Mathematica, Ser. A , 21 : 75 – 99 .
  • Bock , H. H. 1985 . “On Some Significance Tests in Cluster Analysis,” . Journal of Classification , 2 : 77 – 108 .
  • Cooper , M. C. and Milligan , G. W. 1984 . “The Effect of Error on Determining the Number of Clusters,” Ohio State University, College of Administrative Science. . working paper, Ser. 84–2
  • Cooper , M. C. and Milligan , G. W. “The Effect of Error on Determining the Number of Clusters,” . Proceedings of the International Workshop on Data Analysis, Decision Support and Expert Knowledge Representation in Marketing and Related Areas of Research . pp. 319 – 328 . New York : Springer-Verlag. .
  • De Soete , G. , De Sarbo , W. S. and Carroll , J. D. 1985 . “Optimal Variable Weighting for Hierarchical Clustering: An Alternating Least-Squares Algorithm,” . Journal of Classification , 2 : 173 – 192 .
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  • Hubert , L. J. 1974 . “Approximate Evaluation Techniques for the Single-Link and Complete-Link Hierarchical Clustering Procedures,” . Journal of the American Statistical Association , 69 : 698 – 704 .
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  • Mizoguchi , R. and Shimura , M. 1980 . “A Nonparametric Algorithm for Detecting Clusters Using Hierarchical Structure,” . IEEE Transactions on Pattern Analysis and Machine Intelligence , 2 : 292 – 300 .
  • Pollard , D. 1981 . “Strong Consistency of k-Means Clustering,” . The Annals of Statistics , 9 : 135 – 140 .
  • Prim , R. C. 1957 . “Shortest Connection Networks and Some Generalizations,” . Bell System Technical Journal , 36 : 1389 – 1401 .
  • Sarle , W. S. 1983 . “The Cubic Clustering Criterion,” Cary , NC : SAS Institute, Inc. . Technical Report A-108
  • Sarle , W. S. 1986 . The MODECLUS Procedure: Preliminary Documentation Cary , NC : SAS Institute, Inc. .
  • Sibson , R. 1973 . “SLINK: An Optimally Efficient Algorithm for the Single Link Method,” . Computer Journal , 16 : 30 – 34 .
  • Silverman , B. W. 1981 . “Using Kernel Density Estimates to Investigate Multimodality,” . Journal of the Royal Statistical Society, Ser. B , 43 : 97 – 99 .
  • Wishart , D. 1969 . “Mode Analysis: A Generalisation of Nearest Neighbour Which Reduces Chaining Effects”. ” . In Numerical Taxonomy Edited by: Cole , A. J. 282 – 308 . London : Academic Press. .
  • Wong , M. A. and Lane , T. 1983 . “A k:th Nearest Neighbor Clustering Procedure,” . Journal of the Royal Statistical Society, Ser. B , 45 : 362 – 368 .
  • Wong , M. A. and Schaack , C. “Using the kth Nearest Neighbor Clustering Procedure to Determine the Number of Subpopulations,” . Proceedings of the Statistical Computing Section, American Statistical Association . pp. 40 – 48 .

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