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
PerceptionApproches
- 感知器和其他聚类算法，如lmse。另外还包含了更多的比如c均知法，各种简单的非监督据类程序，有利于直接使用-Perceptron and other clustering algorithms, such as lmse. It also includes more like c all know, a variety of simple non-supervisory category According to procedures, it will directly use
mianyixipaofenge
- 免疫细跑的图象分割 非监督方法 要的下吧 -immune fine run in the non-image segmentation methods of monitoring it to the next
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-supervised classification
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
Medoidshift
- 中心点漂移是一种非监督聚类算法（与k-means算法相似，但应用范围更广些),可用于图像分割，基于Matlab实现的源码。 MedoidShift is a unsupervised clustering algorithm(similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab
ISODATA
- ISODATA算法是一种基于统计模式识别的非监督学习动态聚类算法，有较强的实用性。介绍了ISODATA算法原理和实现步骤，结合具体算例进行了聚类分析，得到了理想的分类结果，并分析了参数的选取将对分类结果产生的影响。
precluster-聚类算法
- 非监督聚类算法
fuzzy_c_means.rar
- 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
- ISODATA算法是一种基于统计模式识别的，非常经典的非监督学习动态聚类算法，有较强的实用性。ISODATA算法不仅可以通过调整样本所属类别完成样本的聚类分析，而且可以自动地进行类别的“合并”和“分裂”，从而得到类数比较合理的聚类结果。-ISODATA algorithm is based on statistical pattern recognition, unsupervised learning is the classic dynamic clustering algorithm
Kernel-K_means
- 用IDL与ENVI二次开发进行非监督分类的Kernel K_means算法，强大实用-Use IDL and ENVI for the secondary development of Kernel K_means unsupervised classification algorithm, a powerful and practical
lpp.rar
- 一种很重要的非监督降维方法，是流形学习算法Laplacian Eigenmap 的线性化方法，在人脸识别中效果非常好。,A very important method of unsupervised dimensionality reduction, manifold learning algorithm is Laplacian Eigenmap linearization method is very effective in face recognition.
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
Isodata
- 这是一个关于遥感图像非监督分类法的算法，希望对大家有所帮助-This is a remote sensing image on the unsupervised classification algorithm, we want to help
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
learning_code
- 无限混合模型的非监督学习算法的例程和MATLAB代码-It s a set of MATLAB m-files implementing the mixture fitting algorithm.It consists of a main MATLAB function and three auxiliary functions.
patternRecognition
- 这系列课件系统地讲述了模式识别的基本理论和基本方法。内容涵盖了贝叶斯决策、概率密度函数的估计、线性判别函数、邻近法则、特征的选择和提取、非监督学习、神经网络、模糊模式识别等。-This series of courseware on a pattern recognition system to the basic theory and basic methods. Covers the Bayesian decision-making, the estimated probability de
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.)
ERDAS界面认识基本功能、图像增强、监督分类非监督分类方法
- ERDAS软件实现遥感影像的监督分类和非监督分类方法说明及指导