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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 segmen
lecture2_semi-supervised
- 中科院图像理解与计算机视觉课件二 值得参考一下 some topics on pattern recognition and computer vision-Chinese Academy of Sciences and Computer Vision Image Understanding Courseware Second worthy reference for some topics on pattern reco
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
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
FCM
- 利用java编写的模糊C均值聚类算法，可以用来图像无监督聚类及图像分割等。-Using java prepared Fuzzy C-means clustering algorithm, can be used to image non-supervised clustering and image segmentation and so on.
kfan_051201
- 文章Spatial Priors for Part-based Recognition using Statistical Models (Crandall, Felzenszwalb, Huttenlocher) CVPR 2005的c++源码,k-fan匹配和可视对象识别的监督学习算法的实现. -Article Spatial Priors for Part-based Recognition using Statistical
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。 -ISODATA algorithm is a statistical pattern recognition based on non-supervised learning dynamic clustering al
sort
- 分类问题是利用已知类别的样品（训练集）来构造分类器，其训练集样品是已知类别的，所以又称为有监督学习。-Classification problems is the use of known types of samples (training set) to construct the classifier, its training set of known types of samples is, therefore, has al
FisherFace
- 人脸识别的经典算法的完美结合，PAC与FISHER算法C++实现，首先通过PCA进行维数约简，然后通过FISHER进行最有利的方向投影。识别效率是所有监督学习的上限。-Face Recognition Algorithm for the perfect combination of classic, PAC and FISHER algorithm C++ Realize, first of all carried out throug
ClusteringanalysisbasedonSOFMnetwork
- 基于自组织特征映射网络的聚类分析，是在神经网络基础上发展起来的一种新的非监督聚类方法，分析了基于自 组织特征映射网络聚类的学习过程，分析了权系数自组织过程中邻域函数和学习步长的一般取值问题，给出了基于自组织 特征映射网络聚类实现的具体算法，并通过实际示例测试，证实了算法的正确性。 -Based on self-organizing feature map network cluster analysis, neural ne
S-Isomap
- S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.
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
AerialImageClassificationMethodBasedonFractalTheor
- 提出一种基于分形理论和BP 神经网络的航空遥感图像有监督分类方法。该方法尝试将航空图像 的光谱信息和纹理特征相结合。它首先将彩色航空图像由RGB 格式转化为HSI 格式,然后,根据亮度计算分 数维、多重分形广义维数谱q-D( q) 和“空隙”等基于分形的纹理特征,同时加入归一化的色度和饱和度作为光 谱特征,采用BP 神经网络作为分类器。通过对彩色航空图像的分类实验,结果证实该方法行之有效。-Based on fractal
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
Semi_Supervised_Learning_With_SVMs
- sssvm相关的文档，也可以在sourceforge上下载-sssvm related documents, can also be downloaded at sourceforge
Neural-Network-pattern-recognition
- 根据神经网络的算法对三幅训练图像和测试图像进行识别。-According to neural network training algorithm for three test images and image recognition.
MeanShift
- Meanshift的非监督聚类方法,主要用于图像处理和模式识别。-Meanshift non-supervised clustering method, mainly used in image processing and pattern recognition.
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