搜索资源列表
Clusterdemos-src
- 一个k-means算法的改进。使用了模糊聚类的方法，并且有演示过程。-a k-means algorithm improvements. The use of fuzzy clustering method, and a demonstration of the process.
cmeans
- 实现聚类K均值算法： K均值算法：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。-achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n objects assigned K to 000 category, making such objects within
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 developm
Fuzzy-k-means
- 模糊核聚类及几篇文章，用于数据和图像的模糊聚类分割，效果还行-nuclear fuzzy clustering and articles for data and image segmentation fuzzy clustering, the results were OK
ClusterImageSeg
- 一个利用各种聚类算法实现遥感影像分割的程序，包括K均值、ISODATA、模糊C均值等！-use of a clustering algorithm remote sensing image segmentation procedures, including K-means, ISODATA, Fuzzy C- Means, and so on!
DllRoughKmean
- 一个基于粗糙集的K均值算法实现图像分割的DLL程序！可以用来处理8位的BMP图像！-a rough set based on the K-means algorithm for image segmentation procedures DLL! Can be used to deal with eight of BMP images!
EXO2ET3
- K均值算法和K近邻算法，以及用MATLAB实现相关例子。-K-means algorithm and the K-nearest neighbor algorithm, and using MATLAB relevant examples.
KMeansV
- k-means聚类算法在二维平面上的可视化实现 聚类时可以设置类数和迭代阈值 聚类结果用色彩和类圆清楚的表现出来-k-means clustering algorithm in a two-dimensional plane with the Visualization of clustering can be set up several categories and iterative threshold Clusterin
vqKmeans
- Test k-means on 2-D data
KMeans3-based-opencv
- 基于OpenCV的K-均值算法,用于聚类分析,如图象的颜色聚类,生成相关的颜色表等.-the K-means algorithm for clustering analysis, such as image color clustering, Formation of color, and so on.
kmeans_java
- k-means聚类算法的java代码实现,良好的代码风格，适合扩充-k-means clustering algorithm to achieve the java code, the code of good style, suitable for expansion
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
anotherKMEANS
- k-means算法-k-means algorithm
fastkmeans
- 快速k-means算法，比matlab 自带的要快很多。-rapid k-means algorithm, compared to the Matlab bringing their much faster.
fdfsfsfsfsfs
- 人工选择聚类中心，用k-means聚类方法对图像进行分割，效果不错的-artificial selection cluster center, k-means clustering method for image segmentation, the good results
FuzzyC-Means
- 模糊c均值,m值，误差限，迭代次数由用户自己输入，聚类效果好。-fuzzy c-means, m value, the error limits, the number of iterations user input, clustering effects.
kmean
- 这是模式识别中关于k均值动态聚类算法的matlab源码-This is the pattern recognition on the k-means clustering algorithm Matlab FOSS
KMEANS
- k-means 动态聚类算法源程序 非常好用 高的效率-Dynamic k-means clustering algorithm is very useful source of high efficiency
UseMatlabandCtorealizeKmeans
- 这是一个用c和matlab编写的程序，用于实现k-means算法-This is a matlab with c and the preparation of the procedures used to implement k-means algorithm
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) -DataMining software (integrated association rules, k-means clustering, fuzzy clustering, k-center clustering of four algorithms)