搜索资源列表
somlvq
- This project compares the performance of SOM versus LVQ in classification problems. Given two data sets: ‘iris.dat’ has 150 patterns of 3 classes with 4 features. ‘wine.dat’ has 178 patterns of 3 classes with 13 features. For SOM, use its alg
wine
- SVM的一个实例，对不同葡萄酒分类，有原始数据-Matlab code for SVM, classifing types of wine, with original data.
wine
- pca-kmeans聚类 先将数据(wine,uci数据集)降维处理，在进行聚类-pca-kmeans clustering use the data of uci:wine.
SMOSVM
- 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.
SVMneuralnetwork
- SVM神经网络的数据分类预测-葡萄酒种类识别-SVM neural network data classification forecast- wine species identification
chapter12
- SVM神经网络的数据分类预测----意大利葡萄酒种类识别-SVM neural network data classification forecast---- Italian wine species identification
SVM
- SVM神经网络的数据分类预测-葡萄酒种类识别 基于matlab的.m文件。-SVM neural network data classification forecast- wine species identification based on matlab m file.
fangcha
- 用方差分析葡萄酒质量评价的合理性，画出分析图，用置信区间发对数据进行处理。-Variance analysis of the reasonableness of the wine quality evaluation, draw analysis chart sent for processing data with a confidence interval.
SVM
- SVM神经网络的数据分类预测-葡萄酒种类识别-SVM neural network data classification forecast- wine species identification
GAsvm
- 载入测试数据wine,其中包含的数据为classnumber = 3,wine:178*13的矩阵,wine_labes:178*1的列向量-Now the test data wine, wherein the data contained in the classnumber = 3 wine: 178* 13, the matrix wine_labes: 178* 1 of the column vector
Wine-Type-Identification
- SVM神经网络的数据分类预测-葡萄酒种类识别-SVM neural network data classification forecast- Wine Type Identification
svm
- 基于SVM的数据分类预测——意大利葡萄酒种类识别，matlab语言写的- Data classification based on SVM prediction- Italian wine species identification, matlab language used to write
16
- 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
chapter_WineClass
- 利用SUPPORT VECTOR MACHINE进行葡萄酒分类的数据，分类效果还不错-SUPPORT VECTOR MACHINE use wine for data classification, classification results were good
12
- 一个MATLAB源代码，源于SVM神经网络的数据分类预测，可用于葡萄酒种类识别-A MATLAB source code, derived the neural network SVM classification predicted data, it may be used to identify the type of wine
SVM神经网络的数据分类预测-葡萄酒种类识别
- SVM神经网络的数据分类预测-葡萄酒种类识别(SVM neural network data classification prediction wine species identification)
svm分类预测
- wine的数据来源是UCI数据库，记录的是在意大利同一区域里三种不同品种的葡萄酒的化学成分分析，数据里含有178个样本，每个样本含有13个特征向量（化学成分），每个样本的类别标签已给，该程序主要实现意大利葡萄酒种类识别。(The data source for wine is the UCI database, which records the chemical composition of three different varieties of wines in the same area
emd toolbox
- SVM案例12 SVM神经网络的数据分类预测-葡萄酒种类识别(SVMCase 12 SVM neural network data classification prediction - wine species identification.)
Dectree
- 决策树分类小程序，分类一个酒的类别数据集，数据集里有三类酒，利用matlab自带的决策树函数，根据数据集进行建模，预测。决策树小程序Demo(Decision tree classification program, classification of a wine category data set, there are three types of wine in the data set, using the decision tree function of matlab, accord