Finding Group Structures in Data using Unsupervised Machine Learning

We will use an algorithm called k-means to find the number of natural clusters in our data set. Let's take an initial "guess" of 3 clusters to describe out dataset: This gives us a wealth of information. Each of our clusters have size 9,7, and 8 respectively. We can see that in the clustering vector. Counts of 1s is 9, 2s is 7, and 3s is 8. Clustering vector: Additionally, the mean Income for Cluster 1 is 64K and Lot Size of 18.5K sq ft.