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基于贝叶斯网络的半监督聚类集成模型
- 已有的聚类集算法基本上都是非监督聚类集成算法,这样不能利用已知信息,使得聚类集成的准确性、鲁棒性和稳定性降低.把半监督学习和聚类集成结合起来,设计半监督聚类集成模型来克服这些缺点.主要工作包括:第一,设计了基于贝叶斯网络的半监督聚类集成(semi-supervised cluster ensemble,简称SCE)模型,并对模型用变分法进行了推理求解;第二,在此基础上,给出了EM(expectation maximization)框架下
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
sime-kpca
- 基于半监督的核主元分析matlab代码，基于半监督核主元分析matlab代码-Based on the semi-supervised KPCA Matlab code, Based on the semi-supervised KPCA Matlab code
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
diwushibie
- 基于有监督分类的地物识别,基于有监督分类的地物识别-Has supervised classification based on the features to identify, has supervised classification based on the identification of features
111-30
- 模式识别相关技术，EM算法简介，EM算法是关于半监督学习的一种技术-Pattern recognition technology, EM algorithm About, EM algorithm is on a semi-supervised learning techniques
ssl_survey
- 关于半监督学习的综述，包括了所有主要方法，比如cotraining算法等等，可以对该领域有一个全面的认识
Semi-definiteManifoldAlignment
- 2007国际顶级会议半监督论文，主要是在人脸表情识别中的应用-Top 2007 International Conference on semi-supervised thesis, mainly in Facial Expression Recognition
quick-supervised-learning-throwaway-code-code(Matl
- 监督学习是机器学习中很重要的一种技术,该压缩包中是一个快速监督学习MatLab的实现程序-Supervised learning is very important in machine learning a technique, the compressed package is a fast supervised learning procedures realize the MatLab
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
Semisupervsedalignmenofmanifolds
- 一种半监督流形学习算法，包括相应的文章和代码。-A semi-supervised manifold learning algorithm, including the corresponding article and code.
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
ssSVMToolbox-Bin.win32.win32.x86
- SSSvm， 半监督学习算法，文档在sourceforge上下载-SSSvm, semi-supervised learning algorithm, the document in the sourceforge download
SDA
- 半监督分类分析。注释有对应的参考文献和使用说明！-Semi-supervised classification analysis. Notes there is the corresponding references and the use of note!
semi01
- 近三年来半监督学习的国外顶级期刊论文，办监督的最新研究成果-Over the past three years semi-supervised learning of foreign top-level journal articles, to do oversight of the latest research results
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
Image
- 遥感图像的打开处理程序，能够打开单波段，多波段图像，几何图像变换，线性拉伸变换，平滑 处理包括并行和串行，锐化处理包括梯度锐化、Roberts锐化、laplace锐化、sobel锐化等，还 有用绝对距离和马氏距离算法进行的监督分类算法等，包括了RAW格式数据资源-The opening of remote sensing image processing, to open the single-band, multi
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.
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.)
主动半监督K_means聚类算法研究及应用_吕峰.caj
- 基于师生模型实现半监督学习，百万级数据级(Semi supervised learning based on teacher-student model, million data level)