Scala and Spark for Big Data Analytics

An example of clustering using K-means of Spark MLlib

To further demonstrate the clustering example, we will use the Saratoga NY Homes dataset downloaded from http://course1.winona.edu/bdeppa/Stat%20425/Datasets.html as an unsupervised learning technique using Spark MLlib. The dataset contains several features of houses located in the suburb of the New York City. For example, price, lot size, waterfront, age, land value, new construct, central air, fuel type, heat type, sewer type, living area, pct.college, bedrooms, fireplaces, bathrooms, and the number of rooms. However, only a few features have been shown in the following table:

Price	Lot Size	Water Front	Age	Land Value	Rooms
132,500	0.09	0	42	5,000	5
181,115	0.92	0	0	22,300	6