*Dunn, J.C.*,

**A Fuzzy Relative of the ISODATA Process and Its
Use in Detecting Compact Well-Separated Clusters**,

*Journal of Cybernetics(3)*, 1973, pp. 32-57.
Generalized the minimum variance to a fuzzy ISODATA method.
BibRef
**7300**

*Selim, S.Z.*, and
*Ismail, M.A.*,

**On the Local Optimality of the Fuzzy ISODATA Clustering Algorithm**,

*PAMI(8)*, No. 2, March 1986, pp. 284-288.
See also K-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality.
See also Fuzzy C-Means: Optimality of solutions and effective termination of the algorithm.
BibRef
**8603**

*Saabin, M.J.*,

**Convergence and Consistency of Fuzzy C-Means / ISODATA Algorithms**,

*PAMI(9)*, No. 5, September 1987, pp. 661-668.
BibRef
**8709**

*Venkateswarlu, N.B.*,
*Raju, P.S.V.S.K.*,

**Fast ISODATA clustering algorithms**,

*PR(25)*, No. 3, March 1992, pp. 335-342.

Elsevier DOI
**0401**

Dynamic clustering.
BibRef

*Kittler, J.V.*,
*Pairman, D.*,

**Optimality of reassignment rules in dynamic clustering**,

*PR(21)*, No. 2, 1988, pp. 169-174.

Elsevier DOI
**0309**

ISODATA.
It is shown that contrary to popular belief these iterative clustering
algorithms do not guarantee that each stable partition is locally
optimal.
BibRef

*Velasco, F.R.D.*,

**Thresholding Using the ISODATA Clustering Algorithm**,

*SMC(10)*, No. 11, November 1980, pp. 771-774.
*ISODATA Clustering*.
BibRef
**8011**

*Kasif, S.[Simon]*, and
*Rosenfeld, A.*,

**Pyramid Linking is a Special Case of ISODATA**,

*SMC(13)*, No. 1, January/February 1983, pp. 84-85.
*ISODATA Clustering*. The pyramid linking method is a special case of the ISODATA
clustering method, therefore is guaranteed to terminate.
See also Image Segmentation by Texture Using Pyramid Node Linking.
BibRef
**8301**

*Lee, T.*,
*Richards, J.A.*,

**Piecewise Linear Classification Using Seniority Logic Committee
Methods, with Application to Remote Sensing**,

*PR(17)*, No. 4, 1984, pp. 453-464.

Elsevier DOI
**0309**

ISODATA Classification.
BibRef

*Carman, C.S.[Charles S.]*,
*Merickel, M.B.[Michael B.]*,

**Supervising ISODATA with an information theoretic stopping rule**,

*PR(23)*, No. 1-2, 1990, pp. 185-197.

Elsevier DOI
**0401**

BibRef

*Huang, K.Y.[Kai-Yi]*,

**A Synergistic Automatic Clustering Technique (SYNERACT )
for Multispectral Image Analysis**,

*PhEngRS(68)*, No. 1, January 2002, pp. 33-40.
A new effective synergistic automatic clustering technique serves as a
substitute for
ISODATA when applied to remote sensing image analysis with a large data set.

WWW Link.
**0201**

BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in

Nonparametric Clustering .

Last update:Feb 20, 2020 at 21:34:09