1.Josephine Mater works for the supply-chain analytics division of Trader Joe's, a national chain of specialty grocery stores.Trader Joe's is considering a redesign of its supply chain.Josephine knows that Trader Joe's uses frequent truck shipments from its distribution centers to its retail stores.The file TraderJoes contains data on the location of Trader Joe's retail stores.To keep costs lost, retail stores are typically located near a distribution center.Normalize the values of the input variables to adjust for the different magnitudes of the variables.Josephine would like to use k-means clustering to estimate the location and number of Trader Joe's distribution centers (information on Trader Joe's distribution centers is not publicly disclosed).

(A) Normalize the data and put in 8 for the number of clusters and maximum number of iterations at 10.Answer should list the frequency in each cluster.

Cluster Number

Frequency

1

33

2

1

3

67

4

1

5

90

6

81

7

58

8

3

(B):Provide the answers to the paragraph at the bottom, underlining or highlighting in some way, the words you are choosing.

According to the solution, between _____ and ______ retail stores would be assigned to each distribution center.It (would be / would not be) very unusual to assign a distribution center to a single store.It would also (unlikely / likely) result in distribution centers with very different sizes.This type of solution approach (does / does not) consider the amount of material being supplied to each retail store from the distribution center.