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svm
- SVM神经网络的数据分类预测在葡萄酒种类识别中的应用-SVM classification neural network prediction of data types in the identification of wine
svmwine
- 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 prediction of data classification ( Italy wine kind recognition )
winedata-bayers
- 对著名的UCI机器学习库的wine数据集做的朴素贝叶斯分类算法，包含详细源代码和实验报告，不可多得啊-Pairs of well-known UCI machine learning repository data set to do wine Naive Bayesian classification algorithm, with detailed source code and test reports, a rare ah
AntDemo.tar
- 蚁群聚类的java源码ant colony clustering by java-ant colony clustering by java
SVM-wine
- 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
KNN
- 模式识别大作业K近邻算法（KNN）C++实现，内有iris和wine数据测试以及其他相关资料。-, Pattern Recognition large job K nearest neighbor algorithm (KNN) C++ achieved within the iris and wine data testing and other relevant information.
svm
- SVM神经网络的数据分类预测，预测葡萄酒种类识别-SVM neural network data classification predictions about wine types of identification
UCI
- 利用k-means对UCI数据集进行聚类分析，程序中列举了数据集wine和heart数据集-Using the k- means cluster analysis was carried out on the UCI dataset, listed in the program data collection of wine and heart of data sets
eg12-zhongleishibie
- 《MATLAB神经网络30个案例分析》中的第12个例子，案例12 SVM神经网络的数据分类预测-葡萄酒种类识别。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of example, 12 cases 12 data classification of SVM neural network prediction- wine species identification. Hope to have certain help t
SVMshenjingwangluo
- 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.
wineceshi
- SVM神经网络的数据分类预测----意大利葡萄酒种类识别-Data classification SVM neural network forecasting---- Italian wine species identification
K---NN
- 以著名的wine数据作为实验样本。包括k-NN算法，交叉验证，PCA降维等。-With the famous wine data as experimental samples.K- NN algorithm, cross validation, PCA dimension reduction, etc.
chapter14
- 基于SVM的数据分类预测——意大利葡萄酒种类识别-Data classification based on SVM prediction- Italian wine species identification
RFCM
- 利用粗糙模糊集聚类(RFCM)思想的聚类方法对UCI数据集中的Wine进行聚类分析。Wine数据集共包含13个属性，其中第一个是决策属性，剩下的是连续型的条件属性，一共包含178个对象。-Fuzzy clustering method using rough clustering (RFCM) thoughts on UCI Wine dataset cluster analysis. Wine data set contains a total of 13 properties, of whi
Wine-Quality-Data-Set
- 红酒、白酒质量数据集，可作为机器学习中的数据挖掘数据库-Red wine, white wine quality data sets can be used as data mining machine learning database
machinelearning
- 机器学习 贝叶斯对wine数据集进行分类-Machine learning Bayesian classifying wine data set
BPwinsorter
- 本程序采用自己编写的一个三层BP神经网络来训练一个葡萄酒分类模型，数据放在data.dat中，包含178个13维的葡萄酒数据样本，取其中的138个样本作为训练样本，40个样本作为测试样本-The program uses I have written a three BP neural network to train a wine classification model, data on data.dat the wine contains 13 178 data samples dimen
Wine-type-recognition
- SVM神经网络的数据分类预测-葡萄酒种类识别-Data classification and prediction SVM neural network- Wine type recognition
svm
- 这是一个基于SVM的葡萄酒分类代码，里面的数据、程序都有，大家可以相互学习-This is a SVM based wine classification code, which the data, the program has, we can learn each other
wine
- 红酒数据集，包括了178种红酒种类，以及各类红酒参数(wine data set, including 178 kinds of red wine, as well as various types of red wine parameters)