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Data for Differentiation of nephelium lappaceum producers in Honduras: perspectives for the inclusive rural bioeconomy

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Mendeley Data2026-04-09 收录
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The Data methodology applied multivariate statistical techniques to primary data collected from 314 producers. Principal Component Analysis (PCA) was used to reduce dimensionality, followed by K-means clustering to define the typologies. Kruskal-Wallis tests were applied to validate the significant socioeconomic and organizational differences among the identified clusters.
提供机构:
Universidad Nacional Autonoma de Honduras; Universidad Nacional Autonoma de Nicaragua Leon
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