搜索资源列表
navieBayes
- 条件独立的有监督朴素贝叶斯分类算法。参数估计，输入训练集和测试集，得到分类结果和分类准确率-naviebayes
NB
- 特征之间非独立的有监督朴素贝叶斯分类算法。参数估计，输入训练集和测试集，得到分类结果和分类准确率-NB
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
h
- 基于多类支持向量机的遥感图像分类及其半监督式改进策略-Based on multi-class support vector machines for remote sensing image classification and Semi-supervised Improvement Strategy
55
- 由MLP和RBF神经networksTexture分析图像分类的监督和检测校正-Texture Analysis for Correcting and Detecting
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
spider1
- spider，很好用的模式识别工具箱，里面有各种分类工具，从有监督学习到无监督学习，从模型选择到参数选择。而且也将各个方法封装成类，使用方便。-spider, good use of pattern recognition toolbox, there are various classification tools, from supervised learning to unsupervised learning, choose Preferences from the model. But
semi-surpervised_learing
- 对传统的支持向量机分类器的改进,利用了半监督学习的方法，可以极大的提高分类效率。-The traditional support vector machine classifiers is improved with a semi-supervised learning methods, can greatly improve classification efficiency.
k_means
- k均值的 咱们做非监督分类都用过 不想理解他的原理吗 很重要-k mean we do not want unsupervised classification are used to understand his theory is very important to you
ISODATA
- ISODATA 非监督分类，运用于遥感等领域具有巨大作用-ISODATA unsupervised classification
EISODATA
- 迭代自组织分类，用于对图像进行非监督分类-ISODATA classification for non-supervised classification of image
A-genetic-algorithm
- 用于结合现有影像和新影像的多光谱图像处理工具的遗传算法，描述了基于遗传算法的监督分类等影像处理工具的程序实现。-For images and new images with the existing multi-spectral image processing tools, genetic algorithms, describes the classification based on genetic algorithms and other image processing tools t
isodata
- 实现ISODATA算法，用于遥感影像非监督分类-failed to translate
Pattern-Recognition-ppt
- 介绍模式识别的基本概念，详述了贝叶斯，参数估计，线性分类器，神经网络，随机方法，无监督学习与聚类等-Introduce the basic concepts of pattern recognition, Bayesian detailed, parameter estimation, linear classifiers, neural networks, stochastic methods, unsupervised learning and clustering, etc.
Expectation-maximization
- 用IDL与ENVI 进行非监督分类的maximation算法，简单实用，功能强大-Use IDL and ENVI maximation non-supervised classification algorithms, simple, practical, powerful
Kjunzhi
- VC实现K均值算法，达到对图像进行非监督分类的目的-VC to achieve K-means algorithm to the image the purpose of unsupervised classification
MMP
- MMP算法是一种对半监督降维的方法，可用于图像检索，图像分类等方面。-Maximum Margin Projection
AutoUnsupervisedIimageClassification
- 无监督图像自动分类系统，我们在VC中做了一个基于聚类的图像分类方法，可以选择不同的图像特征，还有二个不同的显示方法。使用方法见“使用说明”。-Unsupervised image automatic classification system, we made a VC in the image classification method based on clustering, you can choose different image features, there are two dif
SemiL
- 利用基于图的分类方法， 半监督学习 ，分类软件。-SemiL is efficient software for solving large scale semi-supervised learning or transductive inference problems using graph based approaches.
prtools
- SVDD（无监督）分类器中所用到的程序集-SVDD classifier used in the assembly