Resultados da pesquisa - Anjaneyulu, GVSR

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  1. 1
    On the use of Sparse Principal Component Analysis and Robust: Selection Features of Maize Yield in Rural Tanzania

    On the use of Sparse Principal Component Analysis and Robust: Selection Features of Maize Yield in Rural Tanzania Por Mbukwa, Justine N., Anjaneyulu, GVSR

    Publicado em 2024
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  2. 2
    On the use of Sparse Principal Component Analysis and Robust: Selection Features of Maize Yield in Rural Tanzania

    On the use of Sparse Principal Component Analysis and Robust: Selection Features of Maize Yield in Rural Tanzania Por Mbukwa, Justine N., Anjaneyulu, GVSR

    Publicado em 2024
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  3. 3
    Application of K-Means and Partitioning Around Mediods (PAM) clustering techniques on Maize and Beans yield in Tanzania

    Application of K-Means and Partitioning Around Mediods (PAM) clustering techniques on Maize and Beans yield in Tanzania Por Mbukwa, Justine Nkundwe, Anjaneyulu, G.V.S.R.

    Publicado em 2024
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  4. 4
    Application of K-Means and Partitioning Around Mediods (PAM) clustering techniques on Maize and Beans yield in Tanzania

    Application of K-Means and Partitioning Around Mediods (PAM) clustering techniques on Maize and Beans yield in Tanzania Por Mbukwa, Justine Nkundwe, Anjaneyulu, G.V.S.R.

    Publicado em 2024
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  5. 5
    Statistical Analytic Tool for Dimensionalities in Big Data: The role of Hierarchical Cluster Analysis

    Statistical Analytic Tool for Dimensionalities in Big Data: The role of Hierarchical Cluster Analysis Por Mbukwa, Justine N., Tabita, G Neeha, Anjaneyulu, GVSR, Rajasekharam, OV

    Publicado em 2024
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  6. 6
    Statistical Analytic Tool for Dimensionalities in Big Data: The role of Hierarchical Cluster Analysis

    Statistical Analytic Tool for Dimensionalities in Big Data: The role of Hierarchical Cluster Analysis Por Mbukwa, Justine N., Tabita, G Neeha, Anjaneyulu, GVSR, Rajasekharam, OV

    Publicado em 2024
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