PCA-Classification.net

所属分类:图形图像处理
开发工具:C#
文件大小:10749KB
下载次数:9
上传日期:2013-07-04 15:54:10
上 传 者无敌某某某某某某
说明:  采用pca的方法,对样本进行分类。在实际中pca算法一般用于检测样本的相似度
(Using pca method to classify the samples. In practice pca algorithm is generally used to detect the similarity of samples)

文件列表:
Classification.NET\Code\Classification.NET\Array.cs (589, 2007-07-06)
Classification.NET\Code\Classification.NET\Classification.NET.csproj (4604, 2013-05-29)
Classification.NET\Code\Classification.NET\Classification.NET.csproj.user (452, 2013-05-29)
Classification.NET\Code\Classification.NET\Classifier.cs (3304, 2007-07-06)
Classification.NET\Code\Classification.NET\Classifiers\AdaBoost.cs (4030, 2007-07-06)
Classification.NET\Code\Classification.NET\Classifiers\DecisionStump.cs (4022, 2007-07-06)
Classification.NET\Code\Classification.NET\Classifiers\NearestNeighbour.cs (944, 2007-07-06)
Classification.NET\Code\Classification.NET\Classifiers\NearestNeighbourFast.cs (950, 2007-07-06)
Classification.NET\Code\Classification.NET\Classifiers\SVM.cs (3644, 2007-07-06)
Classification.NET\Code\Classification.NET\DataPoint.cs (860, 2007-07-06)
Classification.NET\Code\Classification.NET\DataSet.cs (1628, 2007-07-06)
Classification.NET\Code\Classification.NET\Distances.cs (1771, 2007-07-06)
Classification.NET\Code\Classification.NET\IArray.cs (466, 2007-07-06)
Classification.NET\Code\Classification.NET\IDataPoint.cs (535, 2007-07-06)
Classification.NET\Code\Classification.NET\IWeightedLearner.cs (459, 2007-07-06)
Classification.NET\Code\Classification.NET\kdTree.cs (6780, 2007-07-06)
Classification.NET\Code\Classification.NET\LabeledDataSet.cs (1080, 2007-07-06)
Classification.NET\Code\Classification.NET\obj\Debug\Classification.NET.csproj.FileListAbsolute.txt (707, 2013-05-29)
Classification.NET\Code\Classification.NET\obj\Debug\Classification.NET.dll (15872, 2013-05-29)
Classification.NET\Code\Classification.NET\obj\Debug\Classification.NET.pdb (56832, 2013-05-29)
Classification.NET\Code\Classification.NET\obj\Debug\DesignTimeResolveAssemblyReferencesInput.cache (5363, 2013-05-29)
Classification.NET\Code\Classification.NET\obj\Debug\ResolveAssemblyReference.cache (3131, 2013-05-29)
Classification.NET\Code\Classification.NET\Properties\AssemblyInfo.cs (1425, 2007-06-19)
Classification.NET\Code\Classification.NET\SVM.dll (57344, 2007-06-26)
Classification.NET\Code\ClassificationDemo.suo (89600, 2007-07-06)
Classification.NET\Code\Demo\AdaboostForm.cs (967, 2007-07-02)
Classification.NET\Code\Demo\AdaboostForm.Designer.cs (4298, 2007-07-02)
Classification.NET\Code\Demo\AdaboostForm.resx (5814, 2007-07-02)
Classification.NET\Code\Demo\ClassificationDemo.csproj (6766, 2013-05-29)
Classification.NET\Code\Demo\ClassificationDemo.csproj.user (452, 2013-05-29)
Classification.NET\Code\Demo\ClassificationDemoForm.cs (5590, 2013-05-30)
Classification.NET\Code\Demo\ClassificationDemoForm.Designer.cs (20850, 2013-05-30)
Classification.NET\Code\Demo\ClassificationDemoForm.resx (84200, 2013-05-30)
Classification.NET\Code\Demo\NumericalInputDialog.cs (1309, 2007-06-27)
Classification.NET\Code\Demo\NumericalInputDialog.Designer.cs (4211, 2007-06-27)
Classification.NET\Code\Demo\NumericalInputDialog.resx (5814, 2007-06-27)
Classification.NET\Code\Demo\obj\Debug\ClassificationDemo.AdaboostForm.resources (180, 2013-05-29)
Classification.NET\Code\Demo\obj\Debug\ClassificationDemo.ClassificationDemoForm.resources (52937, 2013-05-30)
Classification.NET\Code\Demo\obj\Debug\ClassificationDemo.csproj.FileListAbsolute.txt (1681, 2013-06-03)
Classification.NET\Code\Demo\obj\Debug\ClassificationDemo.exe (136704, 2013-05-30)
... ...

*********************** * Classification.NET * *********************** * Version 1.0 * *********************** * 6 July 2007 * *********************** This zip file contains the C# code and Powerpoint 2007 slides to accompany my tutorial at the International Computer Vision Summer School (ICVSS) 2007. You will need a copy of the free Visual Studio C# Express 2005. Simply open the Demo.sln project in the Code directory. Alternatively the code may work under the Mono Project, but it has not been tested. The code is sparsely documented and the slides provide more insight into the library design. The code is provided with absolutely no warranty. It is designed for research purposes only, in particular as a starting point for designing a classification library. It should not be applied to mission critical applications for which it was not designed. This code may be used freely for research purposes only, but should not be embedded in any commerical product. A small acknowledgement would be greatly appreciated in any published work that makes use of Classification.NET. The demo user interface of this code was written by Matthew Johnson, to whom I am very grateful. Jamie Shotton

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