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- W1544852080 abstract "This chapter introduces cluster analysis with a goal to find an optimal grouping of observations on food security and nutritional status that are similar in a cluster but are dissimilar to observations in other clusters. We motivate the chapter by discussing the extent of under reporting of food hardships in the United States. It is shown how targeted food and nutrition interventions could be designed for groups of households on the basis of certain socioeconomic characteristics or when certain program interventions are desirable to improve the welfare of specific groups of the population. Initial partitioning of observations, optimum number of clusters, describing characteristics of the clusters and cluster centers are some of the topics covered under this chapter. Several food and nutrition related case studies that use cluster analysis are also reviewed." @default.
- W1544852080 created "2016-06-24" @default.
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- W1544852080 date "2014-01-01" @default.
- W1544852080 modified "2023-09-23" @default.
- W1544852080 title "Classifying Households On Food Security and Poverty Dimensions—Application of K-Mean Cluster Analysis" @default.
- W1544852080 doi "https://doi.org/10.1016/b978-0-12-405864-4.00013-2" @default.
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