搜索资源列表
unsupervisedClassification
- 非监督分类程序，MATLAB环境，采用K均值算法，通过初始聚类中心逐次迭代而得到所要分类，并输出分类后的图像。-Non-supervised classification procedures, MATLAB environment, using K-means algorithm, the initial cluster center through successive iterations to be classified, and the output classification im
K_average
- matlab实现的k均值聚类算法，可以实现对大量数据的有效分类-matlab implementation of the k-means clustering algorithm, can achieve a large amount of data on an effective classification
kmeans
- 这个应用程序是使用k均值聚类算法分割一个灰度图像。-This application is the use of k-means clustering algorithm partitions a gray-scale image.
kmeans
- 这个应用程序是使用k均值聚类算法分割一个灰度图像-Application of kmeans clustering algorithm to segment a grey scale image on diferent classes.
KMEANS
- 使用一种改进的k均值进行图像处理，方便使用-The use of a k-means for improved image processing, user-friendly
wenli
- 基于纹理的图像分割的Matlab源代码,应用小波和K均值聚类-matlab
kmeans
- 数据挖掘中的K均值聚类算法的MATLAB的实现-k means clustering algorithm
kmeans
- 程序很好的实现了k均值的聚类，我已经使使用过，效果非常好，很好用-Program achieved a very good k mean clustering, I have so used, the effect is very good, very good use
walkstraight
- 利用K均值聚类的方法实现人体的检测，混合高斯模型建立背景并实时更新-The use of K-means clustering method to achieve the human body detection, Gaussian mixture model to establish the background and real-time updates
zfk_example
- 聚类分析里的k均值（kmeans）算法的matlab实现，是老师即将出的书里，我给写的例子，大家看看吧。 -Where k-means cluster analysis (kmeans) algorithm matlab implementation, a teacher is leaving the book, I give examples of writing, we take a look at bar.
SC09006013
- 实现了小波的图像量化，包括均匀量化，WSQ标准量化，k均值矢量量化，附简明pdf报告。-Implementation of wavelet image quantification, including the uniform quantization, WSQ standards for quantification, k means vector quantization, with a concise pdf report.
imgkmeans
- 将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用-The K means algorithm for image segmentation, the input is a color imag
k-mean
- 这是一个matlab编写的程序。实现k均值。实现成功。-it is a matlab programming.
Kmeans_grayimage
- 简单的灰度图像的K均值聚类分割，Matlab实现-gray image segmentation using K-means clustering by matlab.
KMEANS
- K-Means动态聚类算法源程序。可以用来发现社团结构。-Dynamic K-Means clustering algorithm source code. The structure can be used to find associations.
kmean
- k mean clustering in matlab
kmean2
- 本程序用k-均值聚类的方法实现图像二值化-This procedure using k means to achieve image binarization
K-means
- kmeans算法代码，已经通过验证，可以正常使用，没有病毒
Salama
- 改进的Salama网络拓扑随机生成算法通用Matlab程序，在随机抛撒节点的时候使用了K均值聚类，网络节点分布均匀且疏密得当，边的分布也比较均衡。-Improved algorithm for randomly generated network topology Salama General Matlab program, when the nodes in the random throw using K means clustering, the network node density
imagesegmentation
- 压缩文件里有四种图像分割的算法源代码，即阈值法、区域增长法、分裂合并法和K均值法。图片可用于检验。-The rar folder includes four source code of image segmentation,ie.thresholding, region growing, splitting and merging, kmeans. The images are able to be used for evaluation and verification.