k-Nearest Neighbors in plain English
Here is how it works in plain English: we have training set ( known features ( normalized), and classification) : many data points: [ ( feature1,feature2,feature 3,…), ( f1,f2,f3 …),…
Here is how it works in plain English: we have training set ( known features ( normalized), and classification) : many data points: [ ( feature1,feature2,feature 3,…), ( f1,f2,f3 …),…