搜索资源列表
K-Means
- k-means 聚类方法，用c++实现。-k-means,a method of clustering, implemented in c plus plus language.
K-means
- k-means 算法 step1 初始化K个质心 step2 将所有的点分配给最近的质心 step3 更新质心 step4 若质心都没用变化,则停止,否则返回step2 -k-means algorithm is initialized step1 step2 K a center of mass of all the points assigned to the nearest centroid centroid
k-means
- 数据挖掘算法源代码 k-means聚类算法的C#代码-Source code data mining algorithms k-means clustering algorithm C# code
GA-k-means
- GA-k-means算法 基于遗传算法的k_means聚类方法的研究(33-48)-GA-k-means algorithm
k-means
- K-means算法是最为经典的基于划分的聚类方法，是十大经典数据挖掘算法之一。K-means算法的基本思想是：以空间中k个点为中心进行聚类，对最靠近他们的对象归类。通过迭代的方法，逐次更新各聚类中心的值，直至得到最好的聚类结果。-K-means algorithm is based on the division of the classic clustering method, is ten classic one of data
k-means
- 基于K-means聚类算法的社团发现方法 先定义了网络中节点关联度,并构建了节点关联度矩阵, 在此基础上给出了一种基于 K-means聚类算法的复杂网络社团发现方法。 以最小关联度原则选取新的聚类中心, 以最大关联度原则进行模式归类,直到所有的节点都划分完为止, 最后根据模块度来确定理想的社团数-K-means clustering algorithm based on the association discovery T
K-MEANS-MATLAB
- 用matlab7.0编写的k均值算法，参数可调节，很好用-K-MEANS MATLAB
K-Means PCA降维
- K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding
k-means
- 此种k-means 算法可以快速的对随机产生的随机数据，进行分类，而且分类的效果比较好，效果直观。(This kind of k-means algorithm can quickly classify randomly generated random data and classify it, and the classification effect is better and the effect is intuitive.)
k-means for clustering
- k means for clustering. v v v important
1、K-means学习
- K-means算法MATLAB仿真，利用一副图像作为数据实现K聚类算法仿真(K-means algorithm, MATLAB simulation)
k-means-image-segmentation-master
- k-means 聚类和分割的图像处理方法(k-means and segement image process)
k-means
- Coursera machine learning ex7 assignment，K-means(Coursera machine learning ex7 assignment)
K-means
- 使用k-means算法对图像进行分割，并利用遗传算法对k-means算法加以改进(The k-means algorithm is used for the segment of images, and the genetic algorithm is used to improve the k-means algorithm)
k-means
- k-means以空间中k个点为中心进行聚类，对最靠近他们的对象归类 c++实现代码(C++ implementation code of k-means)
K-means
- 在里面的的是一些关于k-means的东西，用的mnist数据(I try the Mnits data and use K-means to doing the clustering)
k-means-matlab
- 利用k-means算法实现二维平面点的聚类，包括了运行源代码和结果图(The k-means algorithm is used to realize the clustering of two-dimensional plane points, including the running source code and the result graph)
K-means聚类
- K-means聚类程序，可用于聚类问题，自动产生大量数据，生成聚类图片(K-means clustering program, can be used for clustering problems, automatically generate large amounts of data, generate clustering images)
K-means
- K-means的简单实现，期中例子是实现了几组，程序简单，缺陷比较明显(Simple implementation of K-means)
k-means
- 实现k-means聚类算法，里面有数据可以作为测试(This file is use to achieve k-means clustering algorithm.There are data can be used as a test.)