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Description: 本程序用量子行为的粒子群算法训练支持向量机，并用IRIS数据验证了该方法的有效性
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Size: 13465 |
Author: 李慧 |
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Description: 模式识别,对iris数据进行分类,svm算法
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Size: 3347 |
Author: 刘期烈 |
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Description: 本程序用量子行为的粒子群算法训练支持向量机，并用IRIS数据验证了该方法的有效性-This procedure acts with quantum particle swarm optimization training support vector machines, and IRIS data to verify the effectiveness of the method
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Size: 13312 |
Author: 李慧 |
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Description: 模式识别,对iris数据进行分类,svm算法-Pattern recognition, classification of iris data, svm algorithm
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Size: 3072 |
Author: 刘期烈 |
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Description: libsvm支持向量机，用于识别分类。本程序成功用于虹膜识别的研究。是嵌入matlab的C程序-libsvm support vector machine, used to identify classification. The success of this procedure for iris recognition research. Is embedded in the C program matlab
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Size: 65536 |
Author: 张顺利 |
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Description: 鸢尾属植物数据集 支持向量机训练用数据
用excel录入的 数据来源《数据挖掘中的新方法——支持向量机》一书附录D SVM Iris -Iris data sets for SVM training
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Size: 4096 |
Author: yyf |
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Description: 基于EMD和SVM的虹膜识别方法(医疗 图像匹配）-EMD and SVM based method for iris recognition (medical image matching)
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Size: 1494016 |
Author: 马蓉琼 |
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Description: 本人用matlab编写的支持向量机的程序，在数据集iris上进行实验，识别效果不错-I have written in with support vector machine matlab program, in experiments on the iris data set, identify good results
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Size: 3072 |
Author: yupan |
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Description: 1.GeometricContext文件是完成图片中几何方向目标分类。
参考文献《Automatic Photo Pop-up》Hoiem 2005
2 GrabCut文件是完成图像中目标交互式分割
参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》
C. Rother 2004
3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码
4 虹膜识别程序是下载的一个通用的虹膜识别程序，可以运行
5 GML_AdaBoost_Matlab_Toolbox是一个很好用的adaboost matlab工具箱
6 libsvm-mat-2.91-1 是用C编写的改进的SVM程序，代码质量很高，提供了matlab接口
7 SIFT_Matlab 是编写的利用sift特征进行的宽基线匹配，代码质量高
8 FLDfisher 是利用fisher 线性降维方法进行人脸识别-1.GeometricContext file is complete the picture in the geometric direction of target classification. References " Automatic Photo Pop-up" Hoiem 2005 2 GrabCut the target file is an interactive segmentation of image reference " " GrabCut " - Interactive Foreground Extraction using Iterated Graph Cuts" C. Rother 2004 3 HOG documents prepared under their own HOG Characteristics of pedestrian detection matlab code 4 iris recognition process is to download a general iris recognition program, you can run 5 GML_AdaBoost_Matlab_Toolbox is a good use of adaboost matlab toolbox 6 libsvm-mat-2.91-1 is written in C to improve the SVM procedures, code of high quality, provides a matlab interface to 7 SIFT_Matlab is prepared for the use of sift features a wide baseline matching, the code is the use of high quality 8 FLDfisher fisher linear dimension reduction method for face recognition
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Size: 6918144 |
Author: 张数 |
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Description: 用于svc分类， 用SMO实现SVC，并在UCI数据集Iris上进行实验,2. 可借鉴现成SVM软件包，实现回归分析。
-For svc classification, using SMO to achieve SVC, and in the UCI Iris data set on the experiment, 2. SVM can learn ready-made packages, to achieve regression analysis.
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Size: 3072 |
Author: 陈德志 |
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Description: 基于SVM的数据分类，通过IRIS数据进行验证，效果分类准确-SVM-based data classification, through the IRIS data validation, classification accuracy results
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Size: 2048 |
Author: 王华 |
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Description: 利用M-SVM 对Iris数据及进行分类-The use of M-SVM and the classification of Iris data
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Size: 1024 |
Author: 徐新玲 |
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Description: 在matlab环境下，实现鸢尾花数据库的SVM分类，没有使用现成的工具包。-SVM classifier in Matlab environment, iris database, do not use off-the-shelf tool kit.
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Size: 9216 |
Author: 李毅 |
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Description: SVM算法实现+数据
(要用到一些包，按照代码里面的import到网站下就行）
1.读取数据：在Matlab中调用textread可读取UCI数据集，这里读取的文件是iris.data，因为文件中以逗号为分隔符，所以还要在读取方法中添加参数“‘delimiter’，‘，’”，从而在读数据的时候自动跳过分隔符。
2.调用cvx工具箱中的方法：首先需要下载cvx工具箱的压缩文件，在其目录下运行cvx_setup指令，然后调用其方法，以cvx_begin开头，cvx_end为终止符号，所有需要求解的变量以及变量大小都在variable后声明，优化目标在minimize后声明，约束条件在subject to后声明。
3.根据求出的变量ω和b来对数据进行可视化，即画出散点图和支持向量。(The realization of SVM in Matlab)
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Size: 2048 |
Author: dale无双 |
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Description: R语言代码 关于svm的，希望大家学习一下(R language code svm, I hope you learn)
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Size: 1024 |
Author: 旺旺000 |
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Description: 在matlab平台上使用SVM对iris数据集进行分类(use SVM Classification of Iris data set in matlab)
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Size: 6144 |
Author: 咩咩~ |
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Description: SVM通过tensorflow训练iris数据集，寻找最优参数，使误差最小化(SVM trains iris data set through tensorflow to find the optimal parameters and minimize the error.)
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Size: 87040 |
Author: 中世纪！！ |
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Description: 改进量子粒子群算法，用于优化支持向量机参数，用IRIS数据验证(An improved quantum particle swarm optimization (QPSO) algorithm is used to optimize the parameters of support vector machine (SVM), which is validated by IRIS data.)
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Size: 13312 |
Author: dw dw dw dw |
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Description: 利用支持向量机，对鸢尾花数据集进行分类。(Support vector machine is used to classify iris data set.)
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Size: 1024 |
Author: valiant-7 |
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Description: Three classifications of iris data using SVM based on Anaconda
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Size: 16384 |
Author: 某某褚 |
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