搜索资源列表
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.
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
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.
AntDemo.tar
- 蚁群聚类的java源码ant colony clustering by java-ant colony clustering by java
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.
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
wine
- 这两个程序实现对大数据集进行排序，然后根据排序后的结果对聚类参数的选择提供帮助。里边附带有红酒分类数据集。-These two procedures to achieve the sort of large data sets, and then sorted the results of the clustering parameter selection help. Inside with wine classification data sets.
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
- wine数据的基于matlab支持向量机分类-wine data classification based on support vector machine matlab
matlab_wine
- matlab下，wine数据，基于支持向量机的数据分类-under matlab, wine data, data based on support vector machine classification
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
DataMining
- 酒数据挖掘，朴素贝叶斯分类器，把酒分成3类-Wine data mining, naive Bayes classifier, the wine is divided into three categories
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.
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
programs-and-data
- 通过KNN分类法，根据酒的某些性状信息对酒进行分类。然后，通过交叉验证对分类结果进行测试。最后，对数据进行主成分分析，再进行分类。-By KNN classification, according to certain traits information wine wine classification. Then, through cross-validation of the classification tested. Finally, principal component analy
wine
- wine数据集，用于聚类分析，关联分析，文本挖掘-wine data set for cluster analysis, correlation analysis, text mining
knn_Wine-master
- 对于KNN算法对于wine数据集的分类，用matlab语言编写(The classification of the KNN algorithm for the wine data set)
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)