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是支持向量机工具箱（matlab），可用于模式分类，模式识别等。-support vector machines Toolbox (Matlab), can be used for pattern classification, pattern recognition.
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matlab分类工具箱源码，在matlab下运行可以对数据进行多种分类，并有说明文档，可以根据文档进行操作，实现分类。-classification Matlab toolbox source, Matlab can run on a variety of data classification, and documentation, according to documentation for operation, achieving classification.
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一个模式分类的工具箱，matlab语言实现，对模式识别相关方向的人很有用-pattern classification of a toolbox, Matlab language, pattern recognition related to the direction of useful
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?Spider-matlab工具箱，为一良好的数据分析工具箱，内建核偏最小二乘回归(KPLS),径向基网络回归(RBFnet)等；支持向量机(SVC)分类；聚类分析等．-Spider-Matlab Toolbox for a good data analysis toolbox. Built-nuclear partial least squares (PLS) regression neural network (RBFnet); Support Vector Machine (SVC) c
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The MatClass IV Toolbox for MatLab has been developed to support experiments
on feature based classification problems.
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一个支持向量机的matlab工具箱，具有分类、拟合等功能，希望大家下载研学阿！-a Support Vector Machine Matlab toolbox, with classification, fitting features that you download Studies, A!
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这是一些关于模式识别工具箱的源代码,和模式识别第二版配套使用，有很强的运用价值。,These are some original Matlab codes on pattern classification:pattern calssification toolbox
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一个matlab平台应用的svm工具箱，该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法-A matlab platform applications svm toolbox, the kit includes two kinds of classification, two kinds of return, and a one-class support vector machine algorithm
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MOLMAP multiway toolbox是一个matlab集成工具箱，用来计算分子的MOLMAP得分，并将其用于后续的回归或分类模型中。-The MOLMAP multiway toolbox is a collection of MATLAB modules for calculating MOLMAP scores on multiway data. The scores can be used in subsequent regression or classification mo
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用于分类的matlab工具箱，供大家学习交流-Matlab toolbox for classification ，We can exchange advices with it.
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支持向量机工具箱一种，主要解决分类和回归等问题，它是在matlab环境下运行的。-A Support Vector Machine Toolbox, mainly to resolve issues such as classification and regression, which is running in the matlab environment.
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模式识别matlab工具箱。一般常见的分类方法都包含在内，还有svm分类。-Pattern recognition matlab toolbox. General common classification methods are included, as well as svm classification.
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Relief计算分类权重，Matlab实现界面友好，matlab开发工具箱中的支持向量机。- Relief computing classification weight, Matlab to achieve user-friendly, matlab development toolbox support vector machine.
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用于建立主成分分析模型，matlab开发工具箱中的支持向量机，可以实现模式识别领域的数据的分类及回归。- Principal component analysis model for establishing, matlab development toolbox support vector machine, You can achieve data classification and regression pattern recognition.
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用来图像分割，特征提取，目标跟踪，分类的工具箱-Used for image segmentation, feature extraction, target tracking and classification of the toolbox
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LIBSVM工具箱，提供支持向量机分类及回归预测(LIBSVM Toolbox provides support vector machine classification recognition and regression prediction)
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PSO-LSSVM分类测试程序代码模板,PSO优化LSSVM工具箱——分类部分(PSO-LSSVM Classification Test Program Code Template, PSO Optimizing LSSVM Toolbox-Classification Part)
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使用matlab2019a深度学习工具箱实现的CNN卷积神经网络分类例程，数据是随机生成的一维随机数(Using the CNN convolution neural network classification routine realized by MATLAB 2019a deep learning toolbox, the data is one-dimensional random number generated randomly)
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使用Matlab深度学习工具箱-googlenet 图像分类(Using GoogLeNet to classify images using deep learning toolbox)
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