Top 10 algorithms for data mining-Implementation of KNN

Today, KNN, the proximity algorithm among the top ten algorithms for data mining, is simply implemented. That is, given a large amount of data, a test distance is given, in this case, the most data type is used to test the data point. Generally, the data type is classified by classification algorithm, I assume that the data has been divided (randomization classification ). The implementation result is as follows:

So far, we have implemented the remaining seven algorithms, namely kmeans, decision tree, And KNN. We will do this step by step. I hope everyone will gain some benefits. The most important thing is that, in the future, we will integrate more algorithms and write some battle Mother-type programs. We can only say that we are learning.

The source code is as follows:

/Files/liufanping/knn.rar