搜索资源列表
K-均值聚类算法
- K-均值聚类算法，对数据进行聚类分析，可用于提取关键帧等。用matlab实现,K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve
kmeans-image-segmentation
- K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
K-MEANS
- 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-watershed segmentation on matlab
123456789K_Average
- K均值算法的matlab代码，使用起来很简单，对于模式识别的效果也很好，初学者也很容易看懂。-K-means algorithm matlab code, very easy to use, for the effect of pattern recognition is also good, beginners can easily understand.
juleiseg
- 基于matlab的彩色图像分割，利用k聚类算法-Matlab-based color image segmentation, clustering algorithm using k
colorimageretrivew
- 实现彩色图像显著区域提取，基于注意力机制，使用算法包括k-means,分割等。-salient region detection
kmeansClusters
- Image segmentation k mean clustering
K-means.m
- K-mean均值算法的matlab功能实现-K-means to achieve the matlab function
Wavelet_Classify
- 基于小波变换和K-Mean算法的崇明东滩遥感图像分类，读取样本的能量特征向量进行分类，并返回分类图像的RGB图，显示各类地物面积比例-Based on wavelet transform and the K-Mean Algorithm for remote sensing image classification Chongming Dongtan, the energy to read a sample feature vectors for classification, and retu
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
Image_Smoothing
- 所给程序中，先给出一副原始图像，在其中添加椒盐噪声，然后用几种方法进行平滑滤波，包括邻域均值法，邻域中值滤波和K邻域均值滤波，其中的K邻域均值滤波所选掩膜为3*3，K值取5，图片选用board.ti。-Given program, the first is given an original image, in which the added salt & pepper noise, and then use several methods of smoothing, including
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
- 一种改进的均值聚类算法，能很好的利用与图像分割技术-k-means cluster
KNNMeanFilter
- 原理：以待处理的像素作为中心，取一个nXn的模板，在模板中选择k个与待处理像素的值最接近的像素，将这k个像素的均值替换原来的像素值。 假设n=3，k=5，调用方法：b = KNNMeanFilter(a, 3, 5)-Principle: to be treated as the center pixel, take a nXn template select the template and the pending k-nearest pixel values of pixels, thi
kmean
- 包括K-均值聚类算法的思想介绍，kmeans的MATLAB代码，c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.-Entropy Based Subspace Clustering for Mining Data- ENCLUS- a new version of PROCLUS algorit
K-mean
- source Image segmentation with region growing method in MATLAB
MATLAB-image-processing
- 设计一个MATLAB界面，用于图像处理，实现了灰度拉伸，K邻近均值滤波，FFT变换，同态滤波，边缘检测，图像分割，均衡化等-A MATLAB interface design for image processing, gray stretch, K neighboring mean filtering, FFT transform, homomorphic filtering, edge detection, image segmentation, equalization
k-mean
- k—均值分割，分割效果明显，在Matlab下完美实现-K-segmentation, segmentation obviously perfect realization in Matlab
K-mean
- K-means算法是很典型的基于距离的聚类算法，采用距离作为相似性的评价指标，即认为两个对象的距离越近，其相似度就越大(K-means algorithm is a typical distance based clustering algorithm. The distance is used as the evaluation index of similarity, that is, the closer the distance between the two objects, the
AP聚类
- AP聚类算法是基于数据点间的"信息传递"的一种聚类算法。与k-均值算法或k中心点算法不同，AP算法不需要在运行算法之前确定聚类的个数。(AP clustering algorithm is a kind of clustering algorithm based on "information transfer" between data points. Unlike the k- mean algorithm or the k center point