Analyzing Demographic Grocery Purchase Patterns in Kenyan Supermarkets Through Unsupervised Learning Techniques

dc.contributor.author	Momanyi, R.
dc.contributor.author	Cygu, S. B.
dc.contributor.author	Kiragga, A.
dc.contributor.author	Odero, H. O.
dc.contributor.author	Ng'etich, M.
dc.contributor.author	Asiki, G.
dc.contributor.author	Kavu, T. D.
dc.date.accessioned	2025-12-18T10:57:40Z
dc.date.available	2025-12-18T10:57:40Z
dc.date.issued	2025
dc.identifier.uri	https://doi.org/10.1177/00469580251319905
dc.identifier.uri	http://knowhub.aphrc.org/handle/123456789/2871
dc.description.abstract	This study applies unsupervised machine learning techniques to analyze grocery purchase patterns in Kenyan supermarkets. By identifying latent demographic and consumption clusters, the research provides insights into consumer behavior and nutrition transitions. The findings demonstrate the value of data-driven approaches for informing public health nutrition and market interventions.
dc.publisher	Sage
dc.subject	Machine learning
dc.subject	Consumer behavior
dc.subject	Nutrition transition
dc.subject	Kenya
dc.subject	Unsupervised learning
dc.title	Analyzing Demographic Grocery Purchase Patterns in Kenyan Supermarkets Through Unsupervised Learning Techniques

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