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K-Means
- 聚类算法采用的是给定类的个数K,将N个元素(对象)分配到K个类中去使得类内对象之间的相似性最大,而类之间的相似性最小-Clustering algorithm is used to set the number of classes K, the N elements (objects) is assigned to the K classes to make the biggest similarity between objects within the class, and the sim
k-means
- C语言编程实现的八维K-means聚类算法-Eight dimensional K-means clustering algorithm based on C programming language
Arithmetic
- Aprior算法,Fp树算法,K均值,k中心点聚类算法,都可实现-Aprior algorithm, Fp tree algorithm, K-means, k center clustering algorithm can be realized
cPP
- C++简单实现K-Means聚类算法 (2,10), (2,5), (8,4), (5,8), (7,5), (6,4), (1,2), (4,9), (7,3), (1,3), (3,9) (红色的表示初始所选的中心点) K-means算法介绍可参考其他资料或书籍。-C++ simple implementation of K-Means clustering algorithm(2, 5), (2, 5), (8,4), (5,8), (7,5), (6,4), (1,2), (