Data Skeptic
Data Skeptic
Jul 24, 2015
[MINI] k-Nearest Neighbors
Play • 9 min

This episode explores the k-nearest neighbors algorithm which is an unsupervised, non-parametric method that can be used for both classification and regression. The basica concept is that it leverages some distance function on your dataset to find the $k$ closests other observations of the dataset and averaging them to impute an unknown value or unlabelled datapoint.

Clear search
Close search
Google apps
Main menu