搜索资源列表
Bayes-iris
- 在matlab环境下，实现鸢尾花数据的贝叶斯分类，没有利用现成的数据命令。-Bayesian classifier in Matlab environment, iris data, there is no off-the-shelf data command.
ANN-iris
- 在matlab环境下，实现鸢尾花数据的人工神经网络分类，只是比较基本的实现BP网络，没有利用现成的命令。-In the Matlab environment, iris data artificial neural network classifier, but more basic BP network, there is no off-the-shelf command.
iris
- iris 数据集 自己整理过的 数据挖掘使用-finishing off their iris data set using data mining
Iris-Datasets
- well known IRIS data for practice classifier and feature extraction/selection
IRIS-use-RFclassification
- 用随机森林RF方法分类IRIS数据集，用一百个数据做训练集，五十个作为测试集，并统计出错误率，可直接运行-Classification method with random forests RF IRIS data set, using one hundred data to do training set, and fifty as a test set, and the statistical error rate, can be directly run
iris
- iris data for matlab
iris
- BP神经网络matlab实现，程序直接下载就可以运行，全部打包好。该程序主要用于分类iris数据，程序很完整，但不同于网络大部分程序，思路很好，值得学习，适用于初学BP神经网络的人。-BP neural network matlab realize, you can run the program directly download all packed. The program is mainly used for classification iris data, the procedure
LDAfenlei
- 此程序主要用来对iris数据集进行分类，主要训练二分类器。(This program is mainly used to classify iris data sets)
Iris数据集BP神经网络实例代码
- Iris数据集BP神经网络实例代码，该例子程序提供AForge.NET实现和matlab实现两种途径(Iris data set, BP neural network example code)
BP-classifer
- iris数据集 用于BP神经网络分层(The iris data set is used for BP neural network delamination)
exp_2_1
- Iris数据集，计算协方差矩阵和相关系数矩阵和kl变换(The goal of this programming experiment is to: Calculate the covariance matrix and the correlation coefficient matrix of the Iris data set. Perform the Karhunen-Loeve transform on this data set.)
iris
- 著名的鸢尾花案例的数据集合，其中包含4列并且分别对应四个不同的属性值(The data set of the famous iris case)
Iris_DecisionTree
- python 鸢尾花（iris）数据分类测试程序，采用决策树方法。(Python iris flower (IRIS) data classification test program, using the decision tree method.)
Iris_RandomForest
- python鸢尾花（iris）数据分类程序举例，采用随机森林算法。(Python iris flower (IRIS) data classification program is used for example, and the random forest algorithm is used.)
Iris_Adaboost
- python鸢尾花（iris）数据分类程序例子，采用adaboost算法。(Python iris flower (IRIS) data classification program examples, using the AdaBoost algorithm.)
Iris_LinearRegression
- python 鸢尾花（iris）数据分类的例子，采用线性回归算法。(Python iris data classification example, using linear regression algorithm.)
iris
- 取Iris-setosa前40组数据的前两列和Iris-versicolor的前40组数据的前两列作为训练样本。即训练样本共有两类，每类40组数据，每组数据由两个属性值。进行分类训练(Take the first two columns of the first 40 sets of data and the first two sets of the first 40 groups of Iris-setosa as the training samples of the first 40 s
S_SVM
- 在matlab平台上使用SVM对iris数据集进行分类(use SVM Classification of Iris data set in matlab)
iris and pima
- 经典的机器学习数据集合，是机器学习入门的必备数据集合之一(A classic collection of machine learning data, one of the must-have data sets for getting started with machine learning)
IrisTest
- 运用matlab对鸢尾花数据进行了基于knn算法的分类编程(Using MATLAB to classify iris data based on KNN algorithm, we can refer to it.)