A comparative study of the \(K\)-means algorithm and the normal mixture model for clustering: bivariate homoscedastic case (Q963857)
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scientific article; zbMATH DE number 5692748
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A comparative study of the \(K\)-means algorithm and the normal mixture model for clustering: bivariate homoscedastic case |
scientific article; zbMATH DE number 5692748 |
Statements
A comparative study of the \(K\)-means algorithm and the normal mixture model for clustering: bivariate homoscedastic case (English)
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14 April 2010
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clustering
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data mining
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mixture model
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\(K\)-means algorithm
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EM algorithm
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elongation
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mixing proportion
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misclassification rate
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0.9600431
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0.87858105
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0.86967754
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0.8573544
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0.8533761
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0.8510677
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