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
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
MyPos
- 营业设置、酒菜设置、折扣设置、开台点菜、结账、员工资料设置、报表查询、员工工作情况统计-Business setting, food and wine set, discount settings, was meant to bring a la carte, settle accounts, employee data set, reporting queries, staff working conditions and Statistics
WinKingdee
- 这个国内南方某知名葡萄酒行业使用的金蝶与该企业内部系统数据交换的工具。-The south of the country to use a well-known wine industry Kingdee with the internal system data exchange tools.
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
RBF
- 2012年高教杯数学建模评价葡萄酒，建立RBF神经网络评价的源码以及相应的数据和一点比较经典的数据预处理的方法-Mathematical modeling evaluation of the 2012 Higher Education cup wine RBF Neural Network Evaluation of source code as well as the corresponding data and a little more classic data preprocessing
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
33878
- 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
DecisionTree
- 借助于已有数据挖掘算法，实现决策树算法，对酒的品质进行划分。-By means of the existing data mining algorithms, decision tree algorithm, to be divided on the quality of the wine.
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
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
BP-3
- 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
wine
- 基于Wine数据集的数据分析报告 R语言+实验结果文档-data analysis based on wine
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
NBC(1)
- 利用朴素贝叶斯对UCI 的 mushroom 数据集进行分类，使用MATLAB编码(Using naive Bias, the mushroom data sets of UCI are classified and encoded using MATLAB)