Howtosignalprocessing
When should you use K nearest neighbor?
KNN is most useful when labeled data is too expensive or impossible to obtain, and it can achieve high accuracy in a wide variety of prediction-type problems. KNN is a simple algorithm, based on the local minimum of the target function which is used to learn an unknown function of desired precision and accuracy.
What is K Nearest Neighbor algorithm with example?
K Nearest Neighbour is a simple algorithm that stores all the available cases and classifies the new data or case based on a similarity measure. It is mostly used to classifies a data point based on how its neighbours are classified. Let's take below wine example. Two chemical components called Rutime and Myricetin.
