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Richard J. Hathaway: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. James C. Bezdek, Richard J. Hathaway, Christopher Leckie, Kotagiri Ramamohanarao
    Approximate data mining in very large relational data. [Citation Graph (0, 0)][DBLP]
    ADC, 2006, pp:3-13 [Conf]
  2. James C. Bezdek, Richard J. Hathaway
    Some Notes on Alternating Optimization. [Citation Graph (0, 0)][DBLP]
    AFSS, 2002, pp:288-300 [Conf]
  3. Richard J. Hathaway, James C. Bezdek, Jacalyn M. Huband
    Maximin Initialization for Cluster Analysis. [Citation Graph (0, 0)][DBLP]
    CIARP, 2006, pp:14-26 [Conf]
  4. James C. Bezdek, Richard J. Hathaway
    Optimization of Fuzzy Clustering Criteria Using Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1994, pp:589-594 [Conf]
  5. James C. Bezdek, Richard J. Hathaway
    Partitioning the Variables for Alternating Optimization of Real-Valued Scalar Fields. [Citation Graph (0, 0)][DBLP]
    PRIS, 2002, pp:1-19 [Conf]
  6. James C. Bezdek, Richard J. Hathaway, Jacalyn M. Huband, Christopher Leckie, Kotagiri Ramamohanarao
    Approximate clustering in very large relational data. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2006, v:21, n:8, pp:817-841 [Journal]
  7. Nikhil R. Pal, James C. Bezdek, Richard J. Hathaway
    Sequential Competitive Learning and the Fuzzy c-Means Clustering Algorithms. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:5, pp:787-796 [Journal]
  8. Richard J. Hathaway, James C. Bezdek
    Local convergence of the fuzzy c-Means algorithms. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1986, v:19, n:6, pp:477-480 [Journal]
  9. Richard J. Hathaway, James C. Bezdek
    Nerf c-means: Non-Euclidean relational fuzzy clustering. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1994, v:27, n:3, pp:429-437 [Journal]
  10. Richard J. Hathaway, James C. Bezdek, Jacalyn M. Huband
    Scalable visual assessment of cluster tendency for large data sets. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:7, pp:1315-1324 [Journal]
  11. Richard J. Hathaway, John W. Davenport, James C. Bezdek
    Relational duals of the c-means clustering algorithms. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1989, v:22, n:2, pp:205-212 [Journal]
  12. Jacalyn M. Huband, James C. Bezdek, Richard J. Hathaway
    bigVAT: Visual assessment of cluster tendency for large data sets. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:11, pp:1875-1886 [Journal]
  13. Taehwan Kim, James C. Bezdek, Richard J. Hathaway
    Optimality tests for fixed points of the fuzzy c-means algorithm. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1988, v:21, n:6, pp:651-663 [Journal]
  14. Taehwan Kim, James C. Bezdek, Richard J. Hathaway
    Reply to "Comments on: optimality test for fixed points by Kim et al.". [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1990, v:23, n:11, pp:1309-1310 [Journal]
  15. Richard J. Hathaway, James C. Bezdek
    Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2002, v:23, n:1-3, pp:151-160 [Journal]
  16. Richard J. Hathaway, James C. Bezdek
    Visual cluster validity for prototype generator clustering models. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2003, v:24, n:9-10, pp:1563-1569 [Journal]
  17. Richard J. Hathaway, James C. Bezdek, John W. Davenport
    On relational data versions of c-means algorithms. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1996, v:17, n:6, pp:607-612 [Journal]
  18. Richard J. Hathaway, James C. Bezdek
    Fuzzy c-means clustering of incomplete data. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2001, v:31, n:5, pp:735-744 [Journal]
  19. Richard J. Hathaway, James C. Bezdek
    Extending fuzzy and probabilistic clustering to very large data sets. [Citation Graph (0, 0)][DBLP]
    Computational Statistics & Data Analysis, 2006, v:51, n:1, pp:215-234 [Journal]

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