2007 |
20 | EE | James C. Bezdek,
Richard J. Hathaway,
Jacalyn M. Huband:
Visual Assessment of Clustering Tendency for Rectangular Dissimilarity Matrices.
IEEE T. Fuzzy Systems 15(5): 890-903 (2007) |
2006 |
19 | EE | James C. Bezdek,
Richard J. Hathaway,
Christopher Leckie,
Kotagiri Ramamohanarao:
Approximate data mining in very large relational data.
ADC 2006: 3-13 |
18 | EE | Richard J. Hathaway,
James C. Bezdek,
Jacalyn M. Huband:
Maximin Initialization for Cluster Analysis.
CIARP 2006: 14-26 |
17 | EE | Richard J. Hathaway,
James C. Bezdek:
Extending fuzzy and probabilistic clustering to very large data sets.
Computational Statistics & Data Analysis 51(1): 215-234 (2006) |
16 | EE | James C. Bezdek,
Richard J. Hathaway,
Jacalyn M. Huband,
Christopher Leckie,
Kotagiri Ramamohanarao:
Approximate clustering in very large relational data.
Int. J. Intell. Syst. 21(8): 817-841 (2006) |
15 | EE | Richard J. Hathaway,
James C. Bezdek,
Jacalyn M. Huband:
Scalable visual assessment of cluster tendency for large data sets.
Pattern Recognition 39(7): 1315-1324 (2006) |
2005 |
14 | EE | Jacalyn M. Huband,
James C. Bezdek,
Richard J. Hathaway:
bigVAT: Visual assessment of cluster tendency for large data sets.
Pattern Recognition 38(11): 1875-1886 (2005) |
2003 |
13 | EE | Richard J. Hathaway,
James C. Bezdek:
Visual cluster validity for prototype generator clustering models.
Pattern Recognition Letters 24(9-10): 1563-1569 (2003) |
2002 |
12 | EE | James C. Bezdek,
Richard J. Hathaway:
Some Notes on Alternating Optimization.
AFSS 2002: 288-300 |
11 | | James C. Bezdek,
Richard J. Hathaway:
Partitioning the Variables for Alternating Optimization of Real-Valued Scalar Fields.
PRIS 2002: 1-19 |
10 | EE | Richard J. Hathaway,
James C. Bezdek:
Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm.
Pattern Recognition Letters 23(1-3): 151-160 (2002) |
2001 |
9 | | Richard J. Hathaway,
James C. Bezdek:
Fuzzy c-means clustering of incomplete data.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(5): 735-744 (2001) |
1996 |
8 | EE | Nikhil R. Pal,
James C. Bezdek,
Richard J. Hathaway:
Sequential Competitive Learning and the Fuzzy c-Means Clustering Algorithms.
Neural Networks 9(5): 787-796 (1996) |
7 | EE | Richard J. Hathaway,
James C. Bezdek,
John W. Davenport:
On relational data versions of c-means algorithms.
Pattern Recognition Letters 17(6): 607-612 (1996) |
1994 |
6 | | James C. Bezdek,
Richard J. Hathaway:
Optimization of Fuzzy Clustering Criteria Using Genetic Algorithms.
International Conference on Evolutionary Computation 1994: 589-594 |
5 | EE | Richard J. Hathaway,
James C. Bezdek:
Nerf c-means: Non-Euclidean relational fuzzy clustering.
Pattern Recognition 27(3): 429-437 (1994) |
1990 |
4 | EE | Taehwan Kim,
James C. Bezdek,
Richard J. Hathaway:
Reply to "Comments on: optimality test for fixed points by Kim et al.".
Pattern Recognition 23(11): 1309-1310 (1990) |
1989 |
3 | EE | Richard J. Hathaway,
John W. Davenport,
James C. Bezdek:
Relational duals of the c-means clustering algorithms.
Pattern Recognition 22(2): 205-212 (1989) |
1988 |
2 | EE | Taehwan Kim,
James C. Bezdek,
Richard J. Hathaway:
Optimality tests for fixed points of the fuzzy c-means algorithm.
Pattern Recognition 21(6): 651-663 (1988) |
1986 |
1 | EE | Richard J. Hathaway,
James C. Bezdek:
Local convergence of the fuzzy c-Means algorithms.
Pattern Recognition 19(6): 477-480 (1986) |