To examine the local housing market in a particular region, a sample of 120 homes sold during a year is collected. The data are given below.

Apply k-means clustering with k = 10 using LandValue ($), BuildingValue ($), Acres, Age, and Price ($) as variables. Be sure to Normalize input data, and specify 50 iterations and 10 random starts in Step 2 of the XLMiner k-Means Clustering procedure. What is the smallest cluster? What is the least dense cluster (as measured by the average distance in the cluster)?

Question

To examine the local housing market in a particular region, a sample of 120 homes sold during a year is collected. The data are given below.

Apply k-means clustering with k = 10 using LandValue ($), BuildingValue ($), Acres, Age, and Price ($) as variables. Be sure to Normalize input data, and specify 50 iterations and 10 random starts in Step 2 of the XLMiner k-Means Clustering procedure. What is the smallest cluster? What is the least dense cluster (as measured by the average distance in the cluster)?

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The Answer of To examine the local housing market in a particular region, a sample of 120 homes sold during a year is collected. The data are given below.

Apply k-means clustering with k = 10 using LandValue ($), BuildingValue ($), Acres, Age, and Price ($) as variables. Be sure to Normalize input data, and specify 50 iterations and 10 random starts in Step 2 of the XLMiner k-Means Clustering procedure. What is the smallest cluster? What is the least dense cluster (as measured by the average distance in the cluster)?

To Examine the Local Housing Market in a Particular Region