搜索资源列表
将维对分和K均值算法分割图像
- 利用聚类算法分割图像，将维对分法只可将图像分为2部分，可以作为二值化的代码,K-均值法可将图像分为任意多部分。程序直接采用R、G、B三色作为特征参数，聚类中心为随机值，当然也可以采用其他参数，程序编译为EXE文件后速度还可以接受，但尚有改进的余地，那位高手有空修改的话，请给我也发份代码。-clustering algorithm using image segmentation, Victoria right method can only image is divided into two p
KMeansClustering
- k均值聚类的算法，这是通用程序！欢迎借鉴使用-k average value gathers a kind of algorithm, this is the general routine! Welcome to profit from uses
K均值聚类
- 非监督分类,主要在遥感图象分类处理中有应用-unsupervised classification, mainly in remote sensing image classification application is processed
kmean
- 这是用C++作的K-均值聚类算法，模式识别当面的，希望对大家有所帮助！-C is for the K-means clustering algorithm, pattern recognition face-to-face, we want to help!
kmeancluster
- 这是一个k均值聚类的VC函数，非常有用，是本人亲自编写，为了能够和别人交换代码，忍痛上传。-This is a k-means clustering function of the VC very useful, I personally prepared. , and others in order to exchange code and reluctantly upload.
k_means_image
- 国外的一个图像K均值聚类的C++源代码，非常容易集成和使用，适合模式识别、图像处理等方面的开发！-an image abroad of K-means clustering of C source code, and is easy to integrate and use, suitable for pattern recognition, Image processing, and other aspects of development.
rbf_Kmeans
- 一个基于K均值聚类的ＲＢＦ神经网络，注释写的很明白，有不明白的地方可以发邮件问我。-a K-means clustering based on the RBF neural network, notes written very well, did not understand the local mail can ask me.
k_mean
- 主要实现对于图像内容的K均值聚类算法，以达到分割的目的-main image content for the K-means clustering algorithm to achieve the purpose of segmentation
matlab_kjunzhi
- 基于matlab的图像K均值聚类算法程序 -Matlab-based Image K-means clustering algorithm procedures
KCluster
- 自己写K均值聚类Visual C++程序，可以运行-wrote K-means clustering Visual C program can run
9592121913
- 动态k均值聚类C源码[C],好东西,仔细研究呀!呵呵^-k-means clustering Dynamic C source code [C], and good things carefully! Ha ha ^
RFCM
- 用 MATLAB 编写的 模糊C均值聚类法源程序 和模糊k均值聚类法源程序,比较实用。-using MATLAB fuzzy c-means clustering source and fuzzy k-means clustering source, more practical.
MergeCenter
- k均值聚类方法的c代码，并且带有聚类数据，适用于刚刚接触该算法的初学者
DataMining20070102
- DataMining软件(集成了关联规则、k-均值聚类、模糊聚类、k-中心点聚类四种算法)
kmeans
- 算法接受参数 k ；然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。(kmeans algrithom use for clustering)
k-means算法2
- 使用该算法可以实现数据的聚类分析，非常适合初学者。(The algorithm can be used to achieve clustering analysis of data, ideal for beginners.)
kmean
- 一个学习k均值聚类的实例，代码实现了其基本原理，简单易懂，带有测试，训练数据集，可直接上手操作(A learning k-means clustering example, the code to achieve its basic principles, easy to understand, with a test, training data set can be used directly)
k-means程序
- 介绍了k-means 均值聚类，能很好的将离散的点，聚类成几个指定的聚合点。(The K-means mean clustering is introduced, and the discrete points can be well clustered into several designated aggregation points.)
ABC-K-means
- 基于改进人工蜂群算法的K均值聚类算法-喻金平-郑杰-梅宏标，matlab(K-means clustering algorithm based on improved artificial bee colony algorithm-Yu Jinping-Zheng Jie-Mei Hongbiao, matlab)