article Open AccessTop 1% cited
A comparative study of efficient initialization methods for the k-means clustering algorithm
Expert Systems with Applications · 2012 · Vol. 40(1) · pp. 200–210
M. Emre Celebi✉(Louisiana State University in Shreveport)Hassan A. Kingravi(Georgia Institute of Technology)Patricio A. Vela(Georgia Institute of Technology)
Advanced Clustering Algorithms ResearchFace and Expression RecognitionBayesian Methods and Mixture ModelsInitializationComputer scienceCluster analysisGradient descentAlgorithmParametric statisticsData miningMachine learningMathematicsStatistics
Funding
- National Science Foundation
- Louisiana Board of Regents
Citations
1,182
FWCI
47.27
field-weighted impact
References
92
Percentile
100%
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Citations per year
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References
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Machine Learning · 2009 · 852 citations
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Technometrics · 1991 · 5,029 citations
An Algorithm for Vector Quantizer Design
IEEE Transactions on Communications · 1980 · 7,190 citations
The global k-means clustering algorithm
Pattern Recognition · 2002 · 3,604 citations
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