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kjunzhiduolei
- k均值聚类，类数可以自行指定，输出散点图，红色十字为聚类中心-K-means clustering, the class number can be specified on its own, the output scatterplot chart, and the Red Cross for clustering center
K1092013005K-
- K均值聚类算法 对图像颜色进行行聚类 然后对图像分割可直接使用。 -K-means clustering algorithm for image color line clustering and image segmentation can be used directly.
Classifed
- 能够对于遥感图像进行k均值和isodata分类-K mean and isodata of classification for remote sensing image
Fuzzy-c-means-clustering-algorithm-
- k均值算法是模式识别的聚分类问题，采用模糊C均值对数据集data聚为cluster_n类 -k-means algorithm is a pattern recognition poly classification,by using Fuzzy C-Means data sets, data gathered cluster_n class
Kmeans_image
- 使用matlab编写的针对图像的k均值聚类程序-K-means clustering procedure using matlab for image!
classification
- 一些典型的模式分类及聚类方法 包括k均值 FDA PCA LMS 贝叶斯 K近邻-The typical pattern classification and clustering methods including k-means FDA PCA LMS Bayesian K-nearest neighbor
Multidimensional-KM-segment
- 这个程序是关于多维K均值分割的，大家可以下载看看。-This program is a multi-dimensional K mean split, you can download and see.
Kmeans2forImage
- k均值聚类二值化字符图像，通过把RGB图像分割成不同区域-k-means clustering binarized character image, by RGB image segmentation into different regions
image-clustering
- 图像的非监督分类，主要包括K均值、FCM等-Unsupervised classification of images, including K-means, FCM
Example
- 图像超分辨，将训练图像按种类分类并对分块进行K均值算法分类，然后训练成为字典，并对要测试的图像进行超分辨-image super resolution
Texture_moasic
- 基于灰度共生矩阵和K均值聚类的纹理图像分割，MATLAB实现-texture image segmentation
CLASSIFY
- k均值算法的程序，主要用于图像处理中的图像分类-k-means algorithm, program, mainly for image processing, image classification
1
- 光谱分析中的聚类方法和判别方法,包括： 系统聚类、K均值聚类、距离判别、SIMCA法、kNN法等。-Spectroscopy clustering method and discriminant
k_mean_seg
- 利用k均值算法对图像色彩进行聚类分割，将图像中色彩相近的分割成一块。一种很好的图像分割算法。-K-means clustering segmentation algorithm for image color, the color in the image is divided into a similar. A good image segmentation algorithm.
classification-and-fusion
- 基于VC6.0的MFC实现，功能包括：图像分类（K均值、ISODATA）、图像融合（基于高通滤波的加权融合和非加权融合、HIS融合）、直方图均衡化、直方图匹配、RGB与HIS之间的相互转换-based on MFC, functionality include: image classification(K means and ISODATA),image fusion(fusion based on HIS transformation and fusion based on high pas
image-classification
- K均值算法和ISODATA算法的源码，用C++编写，内附一张TM的卫星影像作为实验数据，具体算法原理可以参考武大舒宁、马洪超、孙和利版的《模式识别》一书-The source code of K Means and ISODATA algorithm, written in C++, with a TM image attached. For concrete algorithm, you are referred to the book Pattern Recognition written
RBF_k.m
- 3.基于k均值聚类的RBF 网设计算法 - 3. RBF network design algorithm based on k-means clustering.
imageclustering
- 遥感图像处理，模式识别，用C++编写的K均值分类和ISODATA分类。-using the VC++6.0 tool to realize the imageclustering based on k-means and isodata
Kjunzhi
- 为非监督分类的一种——K均值算法，这里设定的适用于灰度图像，分类后的图像在显示的同时保存在D盘-A non-supervised classification- K-means algorithm, set applies to gray image, classified image display while stored in the D drive
kMeansCluster
- k均值聚类算法Matlab代码实现,可以直接运行-k-means clustering algorithm Matlab code to achieve, can be run directly