搜索资源列表
KNN
- matlab实现k均值分类，模式识别中的算法，共同学习！-matlab k-means classification, pattern recognition algorithms, learning together!
K_Mean
- 关于K均值算法在遥感图像地物分类处理方面的应用-K-means algorithm in remote sensing image processing
k_mean_diff
- 首先进行帧差处理，根据得到的帧差进行k均值算法，完成图像分割-First frame difference processing, k-means algorithm based on frame difference, to complete the image segmentation
kmeans_image-segmentation
- kmeans_图像分割代码,能为深刻了解K均值算法提供一些帮助!-the kmeans_ image segmentation code, to provide some help for a deep understanding of the K-means algorithm!
km
- 对于多类划分我们常用k均值聚类 这个程序实现了对图像的多类聚类-Divided we used k-means clustering procedure for multi-class, multi-class clustering images
K-means
- 在诸多的图像分割算法中，K-means聚类方法体现出了高效性和简洁性。该代码完整实现了k-means算法，并利用该算法进行图形分割。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个聚类以使得所获得的聚类满足：同一聚类中的对象相似度较高，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。-This code implements the K-means method for image segmentation,
EM-suanfa-hunhegaosi
- em算法计算混合高斯模型的参数估计，极大似然，EM算法用于K均值问题的参数估计。MATLAB实现有代码-em algorithm Gaussian mixture model parameter estimation, maximum likelihood parameter estimation for K-means problem EM algorithm. MATLAB implementation code
K_means_gray
- k均值图像分割源码，可对灰度图像进行三类聚类-k-means image segmentation source, three types of clustering of grayscale images
2008302590209
- 该程序可以实现基于K均值算法对彩色遥感图像(如SPOT)进行非监督分类 可以输入分类类别数,程序自动生成分类后的遥感专题图-The program can be achieved based on the K-means algorithm unsupervised classification of color remote sensing image (SPOT), you can enter the number of the categories, the program autom
Image-processing
- 对遥感影像进行增强，平滑去噪等，还包括K均值分类-Remote sensing image enhancement, denoising, also including the K-means classification
kmeans
- Kmeans K均值聚类，对图像进行分割~效果很好-Kmeans segmentation
sp_kmeans
- k均值算法，比matlab自带的要快很多，值得借鉴的算法-k-means algorithm, matlab comes much faster, is worth learning algorithm
K
- 图像处理--均值滤波处理， 小波变换，Sobel算子进行边缘提取-Image processing- mean filter processing, filtering processing, wavelet transform, Sobel operator edge extraction.
image-segmentation
- K均值用于图像分割。 图像分割依据不同的颜色块进行聚类，对于相同颜色但深浅不同的目标可以进一步进行聚类然后分割。-The mean K used in image segmentation
Kmeans
- k均值聚类算法，可以有效的找到聚类中心，并且把两类聚在一起，很经典实用。-k-means clustering algorithm, can effectively find the cluster center, and the two categories together, very classic.
kkmeans
- k 均值算法用于图像分割,根据灰度图自适应地确定分类数并进行分割，需要先用k均值初始化-k’-means algorithm for image segmentation, based on grayscale adaptively determine the number of classification and segmentation, you need to use the k-means initialization
classification
- 各种非监督分类遥感算法的IDL代码，包括K均值，ISO聚类-Remote sensing of various non-supervised classification algorithms IDL code, including K-means, ISO clustering
secai
- 简单的K均值聚类法，本文中选用了5个聚类中心点，具体的聚类中心个数可以参考灰度直方图来选取-Simple K-means clustering method, this paper has selected five cluster center, the specific number of cluster centers can refer to the histogram to select
Kmeans
- K均值聚类的代码，完整程序，有实验结果RGB显示，结果图和相应的灰度直方图-K-means clustering code, complete procedures, RGB is the result of the experiment showed that the figure and the corresponding gray histogram
keshe
- k均值法，主要是用c语言编程实现的，数据是模式识别课后的数据-K means clustering