A good way to see where this article is headed is to take a look at the screenshot of a demo program in Figure 1. The demo sets up 30 data items. Each has a data ID (from 0 to 29), annual income ...

The weighted k-nearest neighbors (k-NN) classification algorithm is a relatively simple technique to predict the class of an item based on two or more numeric predictor variables. For example, you ...