K means clustering using scala spark

K means clustering is a method of vector quantization which is used to partition n observation into k cluster in which each observation belongs to the cluster with nearest means. For real estate firm you want to make a recommend engine. We want to recommend their customers suitable houses for this we are considering the following features. Clustering is an unsupervised learning method, in which we are trying to find the relation between n observations. In the above example we are trying to find the relation between the three feature and giving a recommendation to the customer.