搜索资源列表
kmeans
- kmeans算法实现，对图像处理。亲自使用过，可用，供参考。-Kmeans algorithm for image processing.
kmeans_report
- 数据挖掘kmeans图像聚类实验,用 VC 或 Java 实现 k-means 聚类算法， 分别以迭代次数及分配不再发生变化为算法终止条件，用图片（自己选择）作为数据集，比较运行时间（画出时间与像素点的关系曲线图，因此须用多幅像素个数不同的图片进行实验） 提交实验报告与源代码-Data mining kmeans image clustering experiments, using VC or Java implementation of k-means clustering algorith
kmeans_report
- 数据挖掘kmeans图像聚类实验,用 VC实现 k-means 聚类算法， 分别以迭代次数及分配不再发生变化为算法终止条件，用图片（自己选择）作为数据集，比较运行时间（画出时间与像素点的关系曲线图，因此须用多幅像素个数不同的图片进行实验）,提交实验报告与源代码-Kmeans image clustering data mining experiments with VC k-means clustering algorithm, respectively, the number of itera
kmeans_report
- 数据挖掘kmeans图像聚类实验,用VC实现 k-means 聚类算法-Kmeans image clustering data mining experiments with VC k-means clustering algorithm
kmeans_4Cluster
- kmeans图像分割算法，可以正确分割图像-kmeans image segmentation
kmeans_3Cluster
- Kmeans图像分割，分为3类的情况 已经经过验证，可以正确仿真-kmeans image segmentation
Kmeans-image-segmentation
- k-means用于图像分割，其中包干用于测试的图像及测试的结果-k-means for image segmentation， it contains test images and the results
kmeans
- K均值聚类算法，可用于图像分割，算法简单有效-K-means clustering algorithm can be used to image segmentation and it is simple and effective
Kmeans-image-segmentation
- 一个 k-means 分割彩色图像，很不错，试验了可以用，相当不错- The initial k-means algorithm for image segmentation, it is suitable for beginners
kmeans(cp2Bp2B)
- kmeans聚类算法实现图像分割， 基于K-MEAN的图像分割,方便实用，对于图像处理的研究生很有参考价值的！-kmeans clustering algorithm for image segmentation, image segmentation based on K-MEAN, convenient and practical, for image processing graduate of great reference value!
sift-kmeans
- 这是基于sift代码。可用于图像识别、图像搜索等，非常实用！极力推荐！-This is based sift code. Can be used for image recognition, image search, etc., very useful! Highly recommended!
kmeans
- 图像处理中的K-means算法MATLAB代码，里面有注释。-Image Processing K-means algorithm based on MATLAB code, there are comments.
kmeans-algorithm(matlab)
- 一种图像聚类分割的简单的算法实现，是最为经典的基于划分的聚类方法-Simple clustering algorithm for image segmentation implementation, is the most classic division based clustering methods
kmeans
- 非监督分类的K-MEANS，遥感图像处理中常用。-Unsupervised classification K- MEANS, is commonly used in remote sensing image processing.
kmeans
- K-means图像分割，简单方便的经典图像分割方法~-K-means image segmentation
kmeans
- matlab 基于K均值聚类算法的图像分割-K-means clustering algorithm for image segmentation
kmeans
- 主要是基于聚类K均值的算法，用于将彩色图像转化为灰度图像。-Mainly based on K-means clustering algorithm for converting color images to grayscale.
Kmeans
- Kmeans聚类算法，MATLAB语言，用于图像分割，可以将相似像素聚类，然后进行分割-Kmeans clustering algorithms, MATLAB language for image segmentation, can be similar pixel clusters, and then divided
kmeans
- 在图像分割中所涉及到的k均值聚类，这个方程fuction：[IDX P] = kmeans(V, k)，要求输入样本以及聚类数目，得到聚类值以及数目。-In the image segmentation involved in k-means clustering, this equation fuction: [IDX P] = kmeans (V, k), requires the input samples and the number of clusters to give value
kmeans-snake-hough
- kmeans、snake、hough三种算法的c++代码，其中，kmeans进行分类，snake进行图像套索，hough进行找圆、直线等功能-kmeans, snake, hough three algorithms c++ code, which, kmeans classify, snake image lasso, hough were looking for circles, lines, and other functions