搜索资源列表
KMEANS(matlab)
- Matlab环境下的k-means聚类算法,实现图像分割,很快阿!-K-means Clustering arithmetic based on Matlab platform.It s fast for Image-Division!
K-Means聚类
- k-means聚类算法源码。kmeans是一种常用的分割算法,简单而又高效。-k-means clustering algorithm source code. Kmeans is a common segmentation algorithm is simple but efficient.
KMEANS
- k-means 动态聚类算法源程序 非常好用 高的效率
KMEANS
- 聚类分析中一个简单的聚类算法:K均值算法。
Kmeans
- 在Visual C++.NET2003平台下实现聚类算法中的K-MEANS算法,对随机生成的点进行了聚类。使用单文档结构,并将聚类结果显示出来。
kmeans
- k-means源码(K均值聚类算法源码)
KMEANS
- 对二维数组的最基础的K-means聚类算法的c++实现-Two-dimensional array of the most basic K-means clustering algorithm c++ to achieve
KMEANS
- 基于c++的k-means聚类分析算法,实用性很强-Cluster analysis algorithm
kmeans
- 数据挖掘kmeans图像聚类实验代码 用 VC 或 Java 实现 k-means 聚类算法, 分别以迭代次数及分配不再发生变化为算法终止条件,用图片(自己选择)作为数据集,比较运行时间(画出时间与像素点的关系曲线图,因此须用多幅像素个数不同的图片进行实验) 提交实验报告与源代码。-VC or Java k-means clustering algorithm, were no longer change the number of iterations and the allocation
matlab---Kmeans
- kmeans聚类算法,比较经典的算法,里面有讲解,容易理解-kmeans clustering algorithm to compare the classical algorithm, which has to explain, easy to understand
kmeans(cp2Bp2B)
- kmeans聚类算法实现图像分割, 基于K-MEAN的图像分割,方便实用,对于图像处理的研究生很有参考价值的!-kmeans clustering algorithm for image segmentation, image segmentation based on K-MEAN, convenient and practical, for image processing graduate of great reference value!
kmeans
- 经典的kmeans聚类算法,完全可以运行,帮助学习聚类思想,大家相互交流。-Kmeans classical clustering algorithm, can run, help learning clustering ideas, we exchange.
聚类k-means
- 一个非常简单的kmeans算法,主要用于聚类分析,用户仅需要输入聚类数(A very simple kmeans algorithm, mainly for clustering analysis, users only need to enter the number of clusters)
Kmeans
- 采用C#语言完成了Kmeans 聚类算法的聚类过程。(The clustering process of Kmeans clustering algorithm is completed by C# language.)
Kmeans
- 一个matlab的kmeans聚类算法代码,输入聚类数据和类簇数,输出分好类的数据(A matlab kmeans clustering algorithm code, input cluster data and cluster number, the output of the good class of data)
k-means-master
- just a silly k-means implementation in MATLAB. 简单的用MATLAB实现的kmeans算法(just a silly k-means implementation in MATLAB.)
Kmeans
- python实现的k-means聚类算法(k-means clustering algorithm implemented by python)
Untitledk
- k-means聚类分析,用于聚类分析算法,距离聚类(K-means cluster analysis)
KMEANS
- C++编程实现数据挖掘中的聚类分析 使用K均值算法(C++ programming to achieve data mining clustering analysis using k-means algorithm)
kmeans
- 利用k均值聚类算法对数据进行聚类分析(数据点通过随机生成)(Using k-means clustering algorithm to cluster data (data points are generated randomly))