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MC-SC2 Publications about: cluster analysis
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Articles in journal or book chapters
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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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W.-J. Wang,
Y.-X. Tan,
J.-H. Jiang,
J.-Z. Lu,
G.-L. Shen,
and R.-Q. Yu.
Clustering based on kernel density estimation: nearest local maximum searching algorithm.
Chemometrics and Intelligent Laboratory Systems,
72(1):1-8,
2004.
Keyword(s): NLMSA,
pattern recognition,
cluster analysis,
kernel density estimation,
local optimization.
[bibtex-entry]
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A. Cuevas,
M. Febrero,
and R. Fraiman.
Cluster analysis: A further approach based on density estimation.
Computational Statistics & Data Analysis,
36(4):441-459,
2001.
Keyword(s): cluster algorithms,
density estimates,
smoothed bootstrap,
level set estimation.
[bibtex-entry]
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C. Guinot,
J. Latreille,
D. Malvy,
P. Preziosi,
P. Galan,
S. Hercberg,
and M. Tenenhaus.
Use of multiple correspondence analysis and cluster analysis to study dietary behaviour: Food consumption questionnaire in the SU.VI.MAX. Cohort.
European Journal of Epidemiology,
17:505-516,
2001.
Keyword(s): cluster analysis,
dietary patterns,
food consumption habits,
food frequency questionnaire,
multiple correspondence analysis,
nutritional epidemiology.
[bibtex-entry]
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M. Vichi and H. Kiers.
Factorial k-means analysis for two-way data.
Computational Statistics & Data Analysis,
37(1):49-64,
2001.
Keyword(s): cluster analysis,
factorial model,
tandem analysis,
k-means algorithm.
[bibtex-entry]
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A. Valls and V. Torra.
Using classification as an aggregation tool in MCDM.
Fuzzy Sets and Systems,
115(1):159-168,
2000.
Keyword(s): decision making,
multicriteria analysis,
cluster analysis,
aggregation operators.
[bibtex-entry]
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V. Chepoi and D. Dumitrescu.
Fuzzy clustering with structural constraints.
Fuzzy Sets and Systems,
105:91-97,
1999.
Keyword(s): cluster analysis,
fuzzy n-means algorithm with structural constraints,
multifacility location problem,
structure graph.
[bibtex-entry]
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H. Hruschka and M. Natter.
Comparing performance of feedforward neural nets and k-means for cluster-based market segmentation.
European Journal of Operational Research,
114(2):346-353,
1999.
Keyword(s): neural networks,
marketing,
k-means,
cluster analysis,
market segmentation.
[bibtex-entry]
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S. Ronen and O. Shenkar.
Clustering countries on attitudinal dimensions: A review and synthesis.
Academy of Management Review,
10(3):435-454,
1985.
Keyword(s): cluster analysis,
correlation (statistical),
econometrics,
random variables,
research,
statistics,
quantitative research.
[bibtex-entry]
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Last modified: Fri Dec 15 07:05:47 2006
Author: Juscelino Dias.
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