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DM_YeDan
- KNN(K最近邻)分类算法以及K-means(K均值)聚类算法是应用广泛的两种算法。本代码是在VS2010环境下,用 C++语言在基于KNN及K-means算法下,实现了对Iris数据集的分类与聚类。-KNN (K nearest neighbor) classification algorithm, as well as K-means (K mean) clustering algorithm is widely used two algorithms. The code VS2010 en
Irisabayes
- 对Iris数据进行贝叶斯两类分类,实现正确与错误分类的比较-classification based on Bayes to the date of Iris
Linear-classification
- 基于感知器算法的线性分类实例,对鸢尾花Iris数据进行两两分类-Linear classification based on perceptron algorithm to the data of Iris
neural-network
- 基于BP神经网络的非线性分类,及运用其解决异或问题,并对Iris数据进行分类-Nonlinear classification based on BP neural network and the xor problem, and its appplication on the data of Iris.