clusfind: A set of six stand-alone Fortran programs for cluster analysis. The programs are described and illustrated in the book ”Finding Groups in Data” by L. Kaufman and P.J. Rousseeuw, New York: John Wiley. Chapter 1: DAISY.FOR (computes dissimilarities); Chapter 2: PAM.FOR (partitions the data set into clusters with a new method using medoids); Chapter 3: CLARA.FOR (for clustering large applications); Chapter 4: FANNY.FOR (a new method for fuzzy clustering); Chapter 5+6 : TWINS.FOR (hierarchical clustering; you can choose between agglomerative and divisive); Chapter 7: MONA.FOR (divisive hierachical clustering of binary data sets.

References in zbMATH (referenced in 438 articles , 1 standard article )

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  1. Hennig, Christian; Hausdorf, Bernhard: Distance-based parametric bootstrap tests for clustering of species ranges (2004)
  2. Holland, Stefan; Kießling, Werner: User preference mining techniques for personalized applications (2004) ioport
  3. Jörnsten, Rebecka: Clustering and classification based on the L(_1) data depth (2004)
  4. Kanungo, Tapas; Mount, David M.; Netanyahu, Nathan S.; Piatko, Christine D.; Silverman, Ruth; Wu, Angela Y.: A local search approximation algorithm for (k)-means clustering (2004)
  5. Kim, Han-Joon; Lee, Sang-Goo: An intelligent information system for organizing online text documents (2004) ioport
  6. Zhang, Nevin L.: Hierarchical latent class models for cluster analysis (2004)
  7. Bose, Prosenjit; Maheshwari, Anil; Morin, Pat: Fast approximations for sums of distances, clustering and the Fermat-Weber problem (2003)
  8. Guédon, Y.; Heuret, P.; Costes, E.: Comparison methods for branching and axillary flowering sequences (2003)
  9. Hennig, Christian; Latecki, Longin Jan: The choice of vantage objects for image retrieval. (2003)
  10. Marcelloni, Francesco: Feature selection based on a modified fuzzy C-means algorithm with supervision (2003)
  11. Massey, Louis: On the quality of ART1 text clustering. (2003) ioport
  12. Nair, T. Murlidharan; Zheng, Christina L.; Fink, J. Lynn; Stuart, Robert O.; Gribskov, Michael: Rival penalized competitive learning (RPCL): A topology-determining algorithm for analyzing gene expression data. (2003)
  13. Shyu, Mei-Ling; Haruechaiyasak, Choochart; Chen, Shu-Ching: Category cluster discovery from distributed WWW directories. (2003) ioport
  14. Van der Laan, Mark J.; Pollard, Katherine S.: A new algorithm for hybrid hierarchical clustering with visualization and the bootstrap (2003)
  15. Zhou, HaoFeng; Yuan, QingQing; Cheng, ZunPing; Shi, BaiLe: PHC: A fast partition and hierarchy-based clustering algorithms (2003)
  16. Cuesta-Albertos, J. A.; García-Escudero, L. A.; Gordaliza, A.: On the asymptotics of trimmed best (k)-nets (2002)
  17. Hennig, Christian; Christlieb, Norbert: Validating visual clusters in large datasets: fixed point clusters of spectral features. (2002)
  18. Pollard, Katherine S.; Van der Laan, Mark J.: Statistical inference for simultaneous clustering of gene expression data (2002)
  19. Rousseeuw, Peter J.; Verboven, Sabine: Robust estimation in very small samples. (2002)
  20. Wu, Kuo-Lung; Yang, Miin-Shen: Alternative c-means clustering algorithms (2002)

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