Constructing a k-nearest neighbors classifier

The k-nearest neighbors algorithm is an algorithm that uses k-nearest neighbors in the training dataset to find the category of an unknown object. When we want to find the class that an unknown point belongs to, we find the k-nearest neighbors and take a majority vote.

Getting ready

In this recipe, we will create a k-nearest neighbors classifier starting from the input data that contains a series of points arranged on a Cartesian plane that shows a grouping within three areas.

How to do it...

Let's take a look at how to...