搜索资源列表
73462685svm
- 关于matlab图像处理 识别 分类 神经网络 支持向量机(About MATLAB image processing, recognition, classification)
C4_5
- 决策树分类算法C4.5的matlab代码实现,可返回训练集和测试集的结果,有详细注释(classification tree)
2016_GAN_Matlab-master
- GAN的matlab版本,用于图像分类和生成(The matlab version of GAN is used for image classification and generation)
SVM
- 用于与支持支持向量机的方法将数据数据分类用于 MATLAB程序(Used in conjunction with methods that support support vector machines to classify data data for MATLAB programs)
CSVM_Matlab_code
- csvm算法的实现matlab代码,可实现分类功能。(CSVM algorithm matlab code, classification function can be achieved.)
knn
- 采用KNN(K邻近算法),用matlab平台实现的分类预测算法(Using KNN (K adjacent algorithm), using matlab platform to achieve the classification prediction algorithm)
CSP
- CSP特征提取算法,可用于两类特征的数据分类中(CSP feature extraction algorithm)
决策树
- 决策树id3算法matlab代码,已调试,根据需要改写main函数,实现数据分类功能(code for decision tree)
OS-ELM
- 在线ELM的MATLAB代码,可用于目标跟踪,回归分析预测、以及分类。(The MATLAB code of online ELM can be used for target tracking, regression analysis, prediction, and classification.)
libsvm-3.17
- 支持向量机,用于模式识别的特征分类,基于MATLAB的工具包(Support vector machines are used for feature classification of pattern recognition, based on MATLAB Toolkit)
LIBSVM
- 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)
SVM
- SVM分类器的matlab实现,针对提供的花的特征分类,并交叉验证(The matlab implementation of SVM classifier aims at providing the feature classification of flowers and cross validation)
LSSVMlabv1_8_R2009b_R2011a
- 最小二乘支持向量机,功能(实现回归预测和分类)(least squares support vector machine)
模糊综合评判matlab源程序
- 应用于模糊法分析建立模型,是一种常用的数学方向应用的分类方法。(The model is established by fuzzy analysis)
Kneans
- matlab Kmeans算法,matlab聚类算法,接收参数k,返回分类(matlab Kmeans algorithm)
Bp_Ada_Sort
- boosting是一族可将弱学习器提升为强学习器的算法,工作机制类似基学习器的加性模型。本代码为boosting的分类数据算法。(boosting is a algrithm to carry out a powerful learning machine basing on based machine.)
homework2_2
- 实现批处理感知器算法的程序,用于分类训练集,同时记下收敛时的步数(Program to realize batch perceptron algorithm for classification of training set, and steps to write down the convergence)
FDA
- 这个matlab程序主要用于分类,亲自测试过性能较好(Used for classification)
iris
- 使用iris鸢尾花数据集测试rbf神经网络的分类效果(Using iris iris dataset to test the classification effect of RBF neural network)
shiyan4
- 解决非线性多类别分类问题,利用实际数据进行分类处理。(Solving nonlinear multi class classification problem, using actual data for classification processing.)