Data science for business and decision making chapter 11 Cluster analysis https www sciencedirect com science article pii B9780128112168000112 ab0010 Figure 6 is an illustrative example of clustering observations according to two variables income and age There are four main clusters Each cluster represents individuals that fall into similar age and income groups each individual being closer to others in the same group than to others in other groups You might also be able to find predetermined homogeneous groups or clusters that you can reuse for your DPPD project In the Niger agricultural project the team found a map developed by the Adapt Action Facility that divided Niger into agro ecological zones with similar biophysical ecological and climatic conditions Figure 7 The team decided to use these zones instead of creating their own since they took into account valuable local and contextual information they could not get access to Age In co m e Variability between the clusters Variability within the clusters Figure 6 Illustrating the variability within the clusters and between them Figure 7 Niger agroecological zones Identification and evaluation of farming options climate smart priorities for adaptation to climate change in Niger https bibliosud omekas mind andgo net files original 048098db5a4623fe29327 55ca73a5d59e7aeea78 pdf 61 62

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