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K-MEANS
- 基于MATLAB的k-means算法 较好的解决了图像分类聚类的问题
在matlab下的k-均值聚类进行图像分类分割处理
- 在matlab下的k-均值聚类进行图像分类分割处理,In matlab under the k-means clustering for image classification be dealt with separately
kmeans
- k均值图像分割，经典的图像分割方法，算法简单，效果好。-k-means image segmentation
K-Mean
- 遥感影像K均值分类算法，针对bmp彩色图像。VC++6.0编程实现。-K means of remote sensing image classification algorithm for bmp color images. VC++6.0 programming.
K-Means-Color-Reduction
- 基于K-MEANS的图像退色算法。平台为MATLAB6.5及以上。-Based on the K-MEANS algorithm image fade
k-means
- 对BMP图像进行K_MEANS分类，效果较好，对初学者学习k_means分类算法很有帮助。-K_MEANS image classification of BMP, effect is better, K_MEANS classification algorithm for beginners helpful.
k-means-picture
- k-means图像分割，数据仓库与数据挖掘大作业，不同于其他k-means图像分割，k-means算法为自己编辑，而非调用matlab k-means函数，刚出成绩上传的-k-means
K均值对图像进行聚类分析
- 用k-means算法对图像进行聚类，适合于初学者(K-means algorithm for clustering images, suitable for beginners)
k-means
- 此代码可以对图像很好的聚类，文件里面有原始图像，也有聚类后的图像，聚类的效果挺好的，大家可以看看(This code can make a good clustering of images. In the file, there are original images, and there are also images of clustering. The effect of clustering is good. You can have a look at it)
1、K-means学习
- K-means算法MATLAB仿真，利用一副图像作为数据实现K聚类算法仿真(K-means algorithm, MATLAB simulation)
k-means-image-segmentation-master
- k-means 聚类和分割的图像处理方法(k-means and segement image process)
K-means
- 使用k-means算法对图像进行分割，并利用遗传算法对k-means算法加以改进(The k-means algorithm is used for the segment of images, and the genetic algorithm is used to improve the k-means algorithm)
kmeansimg
- k-means图像聚类，可用灰度图像处理(K-means image clustering)
基于 K-means 聚类算法的图像区域分割
- 图像处理领域，基于 K-means 聚类算法的图像区域分割(Image processing domain, image region segmentation based on K-means clustering algorithm)
k-means
- 增加椒盐噪声对图像进行去噪处理后，实现图像分割(Adding salt and pepper noise to image denoising,realization of image segmentation)
k-means
- 实现k均值聚类算法，可以使用彩色图像，通过随机初始化聚类中心，完成聚类(The K-means clustering algorithm can use color images to initialize cluster centers randomly and accomplish clustering.)
K-means图像识别
- 利用K-means对图像进行聚类，识别。您可以设置参数达到更好的识别效果(Using K-means to cluster and identify images.You can set parameters to achieve better recognition results)
1、K-means学习
- 用k-meas算法对图片聚类,根据图像的颜色，聚类成若干类(Using k-means algorithom to clustering a picture)
K-means
- 对图像用k-means算法进行处理，得到效果更好的图像(Processing the image with k-means algorithm)
基于 K-means 聚类算法的图像区域分割
- 基于K-means聚类算法的图像区域分割(Image region segmentation based on K-means clustering algorithm)