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基于内容的图像检索程序，matlab代码，SVM分类实现，检索效果好，对于研究基于内容检索的学习者用处很大-Content-based image retrieval procedures, matlab code, SVM classification to achieve good retrieval effect, for content-based retrieval research has proved very useful to learn
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在matlab软件中，自己编程实现的一个分类算法，算法首先采用kmeans与fcm聚类分析方法进行采样，然后利用svm对选取得样本进行分类-In matlab software, own programming to achieve a classification algorithm, the algorithm first used fcm kmeans cluster analysis methods and sampling, and then use the elections to
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matlab编写的多示例多标记分类程序，采用miSVM算法，svm做分类器，其中附有各个调用函数，和作为例子的数据和主程序，可以运行，可以多多示例多标记样本进行分类。-matlab prepared multi-instance multi-label classification procedures, using miSVM algorithm, svm do classifier, which function with each call, and as an example of th
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NWFE:Nonparametric Weighted Feature Extraction for Classification，线性分类方法，类似于改进了了的LDA，使用中，结果有时候比SVM等好-classification, NWFE:Nonparametric Weighted Feature Extraction for Classification
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SVM神经网络的数据分类和预测，用于葡萄酒种类分类。-The SVM neural network data classification and prediction for wine type classification.
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四种支持向量机SVM工具箱的分类与回归算法。MATLAB编写-Vector Machine SVM classification and regression algorithm toolbox four support. Written in MATLAB
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audio classification using SVM for 5 classes
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对于svm进行可视化，清晰地划分了分类超平面以及各个类别-Visualization for SVM, a clear division of the classification hyperplane and each category
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matlab svm的gui操控界面，绝对可用！！！能够实现分类预测等强大的功能，可以根据自身需求设置各种参数！-GUI control interface matlab SVM, absolutely available!!! To achieve functional classification prediction, powerful, you can set various parameters according to their own needs!
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用SVM进行声音分类的程序，自己编的，效果挺好，用的是libsvm工具箱-With the sound of SVM classification procedures, own, and the effect is very good, with the libsvm toolbox
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用支持向量机svm实现分类与函数回归，其中包括svc程序，svc输出程序以及svr绘图程序-Classification and function regression using support vector machine svm, including svc program, svc output of the program as well as a drawing program svr
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使用SVM进行分类过程中的参数优化问题，通过优化可以达到较好的分类效果。-Using SVM classification process parameter optimization problem by optimization can achieve better classification results.
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利用支持向量机实现非线性分类，通过调节参数改变分类个数-Nonlinear SVM classification, change classification number by adjusting the parameters
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用matlab分类星云文件，使用SVM方法，包括特征提取和分类，有完整的成俗和数据-Category nebula with matlab file using SVM methods, including feature extraction and classification, and data integrity into vulgar
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李洋SVM GUI界面，可用于分类和回归-Li Yang SVM GUI interface that can be used for classification and regression
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人脸识别技术SVM支持向量机的算法提高了分类效果-SVM algorithm SVM face recognition technology to improve the classification results
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svm二分类问题，用于小样本的简单二分类-svm two classification problems, for a small sample of simple binary classification
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用于模式分类和预测的方法——支持向量机的TOOLBOX的程序，核函数选择为 RBF核函数-Method for pattern classification and prediction- SVM TOOLBOX program, RBF kernel function is selected as the kernel function
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SVM、Adaboost、K-Means 分类算法的实现，有助于理解分类算法的原理。-SVM, Adaboost, K-Means classification algorithm, helps to understand the principles of classification algorithms.
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matlab SVM神经网络的数据分类预测-葡萄酒种类识别-Data classification matlab SVM neural network prediction Wine species identification
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