: 2018-07-04 22:39:24
Description: K-means clustering algorithm based on C++ is an unsupervised learning model. The implementation process of K-means is as follows:
1. Set the random initial point in the given data set as the central point.
2. According to the distance between all points and the center point, all points should be classified into corresponding classes.
3, find the center of gravity in each class and set it as a new central point.
4, repeat the second and third steps until the center point converges.
k-means.h, 1366 , 2018-06-17
main.cpp, 888 , 2018-06-17
k-means.cpp, 8509 , 2018-06-17