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MC-SC2 Publications about: clustering algorithm
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Articles in journal or book chapters
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U. Gonzales-Barron and F. Butler.
A comparison of seven thresholding techniques with the k-means clustering algorithm for measurement of bread-crumb features by digital image analysis.
Journal of Food Engineering,
74(2):268-278,
2006.
Keyword(s): image analysis,
bread,
thresholding,
crumb features.
[bibtex-entry]
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S. Mingoti and J. Lima.
Comparing SOM neural network with fuzzy c-means, k-means and traditional hierarchical clustering algorithms.
European Journal of Operational Research,
2006.
Note: In Press.
Keyword(s): multivariate statistics,
hierarchical clustering,
SOM neural network,
fuzzy c-means,
k- means.
[bibtex-entry]
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L. Rueda and Y. Zhang.
Geometric visualization of clusters obtained from fuzzy clustering algorithms.
Pattern Recognition,
39(8):1415-1429,
2006.
Keyword(s): fuzzy clustering,
fuzzy a-means,
cluster visualization,
expectation maximization.
[bibtex-entry]
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J. Tian,
L. Zhu,
S. Zhang,
and L. Liu.
Improvement and parallelism of k-means clustering algorithm.
Tsinghua Science & Technology,
10(3):277-281,
2005.
Keyword(s): data mining,
cluster analysis,
k-means algorithm,
parallelism.
[bibtex-entry]
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Y.-M. Cheung.
K*-means: A new generalized k-means clustering algorithm.
Pattern Recognition Letters,
24(15):2883-2893,
2003.
Note: Short Communication.
Keyword(s): clustering analysis,
k-means algorithm,
cluster number,
rival penalization.
[bibtex-entry]
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A. Likas,
N. Vlassis,
and J. Verbeek.
The global k-means clustering algorithm.
Pattern Recognition,
36(2):451-461,
2003.
Keyword(s): clustering,
k-means algorithm,
global optimization,
k-d trees,
data mining.
[bibtex-entry]
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A. Nola,
V. Loia,
and A. Staiano.
An evolutionary approach to spatial fuzzy c-means clustering.
Fuzzy Optimization and Decision Making,
1:195-219,
2002.
Keyword(s): clustering algorithm,
fuzzy c-means,
fuzzy sets,
genetic algorithm,
Java language.
[bibtex-entry]
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M. Vrahatis,
B. Boutsinas,
P. Alevizos,
and G. Pavlides.
The new k-windows algorithm for improving the k-means clustering algorithm.
Journal of Complexity,
18(1):375-391,
2002.
Keyword(s): k-means clustering algorithm,
unsupervised learning,
data mining,
range search.
[bibtex-entry]
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Y. Won and S. Kim.
Multiple criteria clustering algorithm for solving the group technology problem with multiple process routings.
Computers & Industrial Engineering,
32(1):207-220,
1997.
[bibtex-entry]
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Y. Guan,
A. Ghorbani,
and N. Belacel.
An unsupervised clustering algorithm for intrusion detection: Advances in artificial intelligence.
In 16th Conference of the Canadian Society for Computational Studies of Intelligence,
Ontario, Canada,
pages 616-117,
2003.
Halifax,
Springer-Verlag.
[bibtex-entry]
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Last modified: Fri Dec 15 07:05:47 2006
Author: Juscelino Dias.
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