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k均值聚类算法分析
- k均值聚类算法分析，采用C++编程技术，提供代码可重用机制 -k-means clustering algorithm analysis, the use of C programming, code reuse mechanism
K均值聚类
- 对图像进行K均值聚类的程序
k
- k均值聚类算法源码，比较经典，无解压密码-k means clustering algorithm source code, more classic, without extracting passwords
CPPK-means
- K均值聚类首先需要确定聚成几类，然后按照迭代的方法，计算类的重心，然后按照向量和类重心的聚类重新分类，反复重复，直到分类稳定或者重心稳定。-K means clustering first need to identify clustered into several categories, and then follow the iterative method to calculate the focus of the class, and then follow the center of
k_junzhi
- K均值算法,这个算法适用于类别数为三的聚类算法-K-means algorithm, this algorithm is applied to the number of categories for the three clustering algorithms
kmeans
- 数据挖掘中的聚类算法，为k均值算法，算比较经典的算法-Clustering algorithm in data mining, considered a classic algorithm for k-means algorithm
Skin-disease
- 基于聚类算法的皮肤病实例，利用k均值算法对皮肤病进行聚类-Based clustering algorithm skin instance using the k-means algorithm clustering of skin diseases
k-juleijunzhisuanfa
- 数据挖掘k-均值聚类算法 VC6.0测试通过-Data mining k-means clustering algorithm VC6.0 test
k-means
- k-均值聚类算法（C语言实现）： 给定类的个数K，将N个对象分到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。-k-means clustering algorithm (C language): given the number of classes K, N objects will be assigned to the K class, making the class the biggest similarity between objects, and the s
Kjunzhi
- k均值算法，对一组三维数据进行K均值聚类分析，分为三类-k-means algorithm, a set of three-dimensional data of K-means clustering analysis, divided into three categories
Kmeans
- 通过k均值算法寻找类中心，聚类，对数据实现有效划分。-The k-means algorithm is used to find the class center, the data is clustered and the data is divided.
04682441
- 基于动态的K值均值酸法 MATLAB 动态聚类K值的算法()