1. ThedatasetCereals.csvincludesnutritionalinformation,storedisplay,andconsumer ratings for 77 breakfast cereals. Data Preprocessing. Remove all cereals with missing values.
2. ApplyhierarchicalclusteringtothedatausingEuclideandistancetothenormalized measurements.Comparethedendrogramsfromsinglelinkageandcompletelinkage,and look at cluster centroids. Comment on the structure of the clusters and on their stability. Hint: Toobtainclustercentroidsforhierarchicalclustering,computethe averagevaluesofeach cluster members, using the aggregate() function.
3. Which method leads to the most insightful or meaningful clusters?
4. Chooseoneofthe methods.Howmanyclusterswouldyouuse? Whatdistance isusedfor this cutoff? (Look at the dendrogram.)
5. The elementary public schools would like to choose a set of cereals to include in their daily cafeterias. Every day a different cereal is offered, but all cereals should support a healthy diet. Forthisgoal,youarerequestedtofindaclusterof "healthy cereals." Should the data be normalized? If not, how should they be used in the cluster analysis?