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Using Principal Component Analysis and Cluster Analysis to determine agricultural capacities of Algeria

Author

Listed:
  • Houssame Eddine Balouli

    (ENSSEA - Ecole Nationale Supérieure de Statistique et d'Economie Appliquée [Tipaza])

  • Lazhar Chine

    (UMBB - Université M'Hamed Bougara Boumerdes)

Abstract

This work aims to apply principal components analysis and cluster analysis to determine the Agricultural capacities of Algeria. We find four agricultural areas. These areas characterized by the production of citrus fruits, potatoes and potatoes, cereals and finally Livestock.

Suggested Citation

  • Houssame Eddine Balouli & Lazhar Chine, 2018. "Using Principal Component Analysis and Cluster Analysis to determine agricultural capacities of Algeria," Post-Print hal-03455876, HAL.
    • Handle: RePEc:hal:journl:hal-03455876
    Note: View the original document on HAL open archive server: https://hal.science/hal-03455876
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    References listed on IDEAS

    as
    1. Lê, Sébastien & Josse, Julie & Husson, François, 2008. "FactoMineR: An R Package for Multivariate Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i01).
    2. Josse, Julie & Husson, François, 2016. "missMDA: A Package for Handling Missing Values in Multivariate Data Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 70(i01).
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