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Rather “Good In, Good Out” Than “Garbage In, Garbage Out”: A Comparison of Various Discrete Subsampling Algorithms Using COVID-19 Data Without a Response Variable - MaRDI portal

Rather “Good In, Good Out” Than “Garbage In, Garbage Out”: A Comparison of Various Discrete Subsampling Algorithms Using COVID-19 Data Without a Response Variable (Q6110184)

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scientific article; zbMATH DE number 7720690
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Rather “Good In, Good Out” Than “Garbage In, Garbage Out”: A Comparison of Various Discrete Subsampling Algorithms Using COVID-19 Data Without a Response Variable
scientific article; zbMATH DE number 7720690

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    Rather “Good In, Good Out” Than “Garbage In, Garbage Out”: A Comparison of Various Discrete Subsampling Algorithms Using COVID-19 Data Without a Response Variable (English)
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    1 August 2023
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    subsampling
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    discrete subsampling
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    exhaustive subsampling
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    random subsampling
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    unsupervised learning
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    clustering
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