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- James C. Bezdek
- Advanced Applications in Pattern Recognition
- 1981

nThis paper transmits a FORTRAN-IV coding of the fuzzy c-means (FCM) clustering program. The FCM program is applicable to a wide variety of geostatistical data analysis problems. This programâ€¦ (More)

- Nikhil R. Pal, James C. Bezdek
- IEEE Trans. Fuzzy Systems
- 1995

Many functionals have been proposed for validation of partitions of object data produced by the fuzzy c-means (FCM) clustering algorithm. We examine the role a subtle but important parameter-theâ€¦ (More)

- Nikhil R. Pal, Kuhu Pal, James M. Keller, James C. Bezdek
- IEEE Transactions on Fuzzy Systems
- 2005

In 1997, we proposed the fuzzy-possibilistic c-means (FPCM) model and algorithm that generated both membership and typicality values when clustering unlabeled data. FPCM constrains the typicalityâ€¦ (More)

- Ludmila I. Kuncheva, James C. Bezdek, Robert P. W. Duin
- Pattern Recognition
- 2001

Multiple classifier fusion may generate more accurate classification than each of the constituent classifiers. Fusion is often based on fixed combination rules like the product and average. Onlyâ€¦ (More)

- James C. Bezdek
- IEEE Transactions on Pattern Analysis and Machineâ€¦
- 1980

In this paper the convergence of a class of clustering procedures, popularly known as the fuzzy ISODATA algorithms, is established. The theory of Zangwill is used to prove that arbitrary sequencesâ€¦ (More)

- James C. Bezdek, Nikhil R. Pal
- IEEE Trans. Systems, Man, and Cybernetics, Part B
- 1998

We review two clustering algorithms (hard c-means and single linkage) and three indexes of crisp cluster validity (Hubert's statistics, the Davies-Bouldin index, and Dunn's index). We illustrate twoâ€¦ (More)

- Richard J. Hathaway, James C. Bezdek
- Pattern Recognition
- 1994

- Richard J. Hathaway, James C. Bezdek
- IEEE Trans. Systems, Man, and Cybernetics, Part B
- 2001

The problem of clustering a real s-dimensional data set X={x(1 ),,,,,x(n)} subset R(s) is considered. Usually, each observation (or datum) consists of numerical values for all s features (such asâ€¦ (More)

- Richard J. Hathaway, James C. Bezdek
- IEEE Trans. Fuzzy Systems
- 1993

AbstructA family of objective functions, called fuzzy cregression models, is presented which can be used to fit switching regression models to certain types of mixed data. Minimization of particularâ€¦ (More)