Description: C++版本的kmeans算法，可以实现任意维度，任意数量的聚类，输出信息非常完整。-C++ version of the kmeans algorithm can achieve any dimension, any number of clustering, the output information is complete. Platform: |
Size: 54272 |
Author:yantao |
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Description: 使用K－均值聚类算法在IRIS数据上进行聚类分析.-K-means clustering algorithm using IRIS data in the cluster analysis. Platform: |
Size: 3072 |
Author:李海 |
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Description: KMeans图像聚类分割：用K-Means聚类方法来对图像进行分割。主要是对图像的颜色进行聚类。开发环境：VC6，需要安装OpenCV。-KMeans clustering in image segmentation: with K-Means clustering approach to image segmentation. Mainly the color of the image cluster. Development Environment: VC6, need to install OpenCV. Platform: |
Size: 2835456 |
Author:chenwenlue |
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Description: C++实现的简单的k均值聚类算法。最基本的聚类算法。-Kmeans clustering algorithm using VC++. It is one of the most fundamental algorithms. Platform: |
Size: 36864 |
Author:王珣 |
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Description: 该代码能够实现K均值聚类算法对彩色图像分割，在MATLAB下实现。-The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve. Platform: |
Size: 1024 |
Author:牛少敏 |
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Description: k-means 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。-k-means algorithm takes parameters k and then advance the input data object is divided into n-k-clustering in order to make the clustering obtained to meet: the object of the same cluster in the high similarity and objects in different cluster little similarity. Cluster similarity is the use of objects in each cluster obtained by means of a " central object" (center of gravity) to be calculated. Platform: |
Size: 566272 |
Author:zhangmuhua |
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