Tag: kNN

kNN is a supervised machine learning that detects the class of a new observation according to the distance to the other nearest neighboring training data. The k defines the number of nearest neighbors or training data point to use to classify the observation. This article discussion assumes that we have understood basic Machine Learning. If not, please go to this article, discussing about Machine Learning basic, and then come back here again.

The figure below shows an illustration of how kNN works in classifying a new observation data according to existing training data. Yellow square with a question mark inside represents new observation that we want to classify. Blue circles and green triangles are labeled training data. They are located in 2-dimension diagram illustrating a set of training data with 2 parameters and classifications, blue circle and green triangle.