搜索资源列表
K均值聚类
- 非监督分类,主要在遥感图象分类处理中有应用-unsupervised classification, mainly in remote sensing image classification application is processed
clasification
- 该程序用于将遥感图像上的地物按照不同的类别划分出来，并用不同的颜色标识，采用的方法为非监督分类-procedures for the use of remote sensing images of the object under different categories such. and the use of different colors, logos, and the methods used for non-supervis
STICA
- 图像的统计独立分量分解程序包，可以用于人脸识别，非监督分类，信号提取等领域
K均值聚类
- 非监督分类,主要在遥感图象分类处理中有应用-unsupervised classification, mainly in remote sensing image classification application is processed
clasification
- 该程序用于将遥感图像上的地物按照不同的类别划分出来，并用不同的颜色标识，采用的方法为非监督分类-procedures for the use of remote sensing images of the object under different categories such. and the use of different colors, logos, and the methods used for non-supervis
STICA
- 图像的统计独立分量分解程序包，可以用于人脸识别，非监督分类，信号提取等领域-Image independent component decomposition of the statistical package, can be used for face recognition, non-supervised classification, the fields of signal extraction
kNN_classify
- 近邻分类器，一种经典的非参数，监督学习方法-Neighbor classifier, a classic non-parametric, supervised learning methods
c_modify
- 在matlab环境下利用c均值聚类方法解决非监督分类问题-Matlab environment in the use of c-means clustering method to solve the problem of non-supervised classification
unsupervisepart
- 提供遥感图像的非监督分类，专业性比较强，可以提供给GIS RS GPS等地理专业的同志参看-Provide remote sensing image supervised classification of non-professional are relatively strong, could be made available to the GIS RS GPS and other geo-professional comrade
isodata
- 非监督分类程序，采用isodata算法，分类自组织迭代分类算法。-Non-supervised classification procedures, using ISODATA algorithm, iterative classification of self-organization classification algorithm.
unsupervisedClassification
- 非监督分类程序，MATLAB环境，采用K均值算法，通过初始聚类中心逐次迭代而得到所要分类，并输出分类后的图像。-Non-supervised classification procedures, MATLAB environment, using K-means algorithm, the initial cluster center through successive iterations to be classified, an
K_means
- 此软件的功能是对遥感图像进行非监督分类。实现算法是k均值-This software is a remote sensing image for non-supervised classification. K-means algorithm implementation are
fuzzy_c_means
- 本程序用c编写，主要用于对遥感图像进行聚类（非监督分类）。-This programme is used to for clustering images (unsupervised classifciation)
ISODATA
- 非监督分类算法源码，目前最通用的聚类算法-Non-supervised classification algorithm source code
hfs259(1)
- 这是C#下编译通过的K均值聚类算法的一个版本，可以应用于遥感图像的非监督分类-K c-mean class two
非监督分类
- 遥感影像非监督分类各种模型的Matlab源代码。(Remote sensing image unsupervised classification of various models of Matlab source code.)
K均值算法 - 非监督分类
- k-means 监督分类，希望对初学者有帮助。(K-means supervised classification, and I hope to help beginners.)
RSImageClassification
- VS2010，基于DIL8.2用多种分类方法实现遥感影像的监督分类和非监督分类(VS2010, a supervised classification and unsupervised classification of remote sensing images based on a variety of classification methods based on DIL8.2)
快速K-均值(kmeans)聚类图像分割算法源代码
- 本算法Kmeans可以用于非监督分类学习，用于图像处理、模式识别分类(The algorithm Kmeans can be used for unsupervised classification learning, for image processing, pattern recognition and classification.)
Span_H_Alpha分类
- 参照论文《基于SPAN／H／alpha／A和复Wishart分割的全极化SAR数据的非监督分类算法研究》(Referenced research on unsupervised classification algorithm of fully polarimetric SAR data based on SPAN / H / alpha / A and complex Wishart segmentation)