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数据挖掘中SVM算法实现
- 数据挖掘中SVM算法实现（用MATLAB实现）-SVM data mining algorithm (MATLAB)
经典SVM算法matlab程序
- 经典SVM算法matlab程序 经典程序，不可缺少！
svm(工具箱)
- 支持向量基的工具箱，里面包括了SVM的训练，预测，画图等很多功能
svm
- 这是一个十分完善的SVM算法。包括各种的线性核和非线性核。能够解决各种分类问题。-This is a very good SVM algorithm. Including the linear kernel and nonlinear kernel. To solve various classification problems.
SVM
- 用matlab实现了SVM算法，并且对两类点进行了分类，给出了图形化的结果。-SVM algorithm is implemented using matlab, and two points on the classification, given the graphical result.
svm-phasestateofcloudclassificationalgorithmsource
- 利用支持向量机的分类特性，结合modis的云图像，对云相态进行分类，利用svm云相态分类算法源代码-The use of support vector machine classification of features, combined with clouds modis images of the cloud phase state classification using svm-phase state of cloud classification algorithm source c
svm
- 线性SVM算法设计分类器，对一组数据进行分类-Linear SVM classifier algorithm on a set of data classification
SVM-algorithm-and-code
- SVM算法及代码，对新手有用，学习理解支持向量-SVM algorithm and code, useful for the novice, understanding and support vector learning
经典SVM算法matlab程序
- 含有大量的经典的SVM程序，有很多例子，有四种支持向量机的说明…
SMO算法实现
- 使用Matlab重新实现了svm算法中的核心算法SMO，即序列优化问题。 其中my_seqminopt.m是重写的实现代码，完成了核心的迭代优化过程。(MATLAB code of SMO algorithm in SVM algorithm)
SVM
- 先实用熵权法对建模参数进行权重分析，在用svm算法进行训练预测(Firstly, the weights of the parameters are analyzed by entropy weight method, and the training is predicted by SVM algorithm)
ABC_SVM
- svm算法，用于数据挖掘，分类。图像处理(SVM algorithm for data mining, classification. image processing)
SVM
- 一个MATLAB语言写的SVM算法测试例，便于理解SVM二分类方法的实际含义(A MATLAB language written SVM algorithm test case, easy to understand the SVM two classification method of practical significance)
SVM算法二分类
- 将支持向量机（SVM）用于模式识别，解决二分类问题，程序中包含训练集和测试集。(The support vector machine (SVM) is used for pattern recognition to solve the dichotomy problem, which includes training set and test set.)
2
- 基于SVM算法和纹理特征提取的遥感图像分类(based on the SVM algorithm and texture feature extraction of remote sensing image classification)
SVM算法matlab程序
- SVM(Support Vector Machine) 支持向量机算法，遥感影像分类，matlab(SVM (Support Vector Machine) support vector machine algorithm, remote sensing image classification, matlab)
PCA-SVM-master
- PCA/SVM算法实现图像分类，分类准确率可到达90%(Image classification by PCA/SVM algorithm)
svm
- 该代码实现了经典的SVM支持向量机算法，Python语言编写，产生结果图。(This code implements the classic SVM support vector machine algorithm, Python language, and produces the result graph.)
svm算法源代码
- 本文件为svm算法源代码，可在MATLAB VS 等环境下使用(This document is SVM algorithm source code, can be used in MATLAB VS and other environments.)
SVM做图片处理
- 使用SVM算法对CIFAR-10图片数据集进行分类，包括模型的训练，测试和参数的调优(Using SVM algorithm to classify CIFAR-10 image data sets, including model training, testing and parameter tuning)