Introduction - If you have any usage issues, please Google them yourself
kNN classification algorithm: no data and sample collection of all data classification labels one by one from the calculation,
Then extract the most similar to the K data, the classification of the K data classification label is the most frequent category labels new data.
Advantages: Simple and effective, Disadvantages: expensive storage space, very time consuming, structural information can not be given any data.