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k-means-iris
- 针对著名的UCI机器学习数据库中的iris data的kmeans聚类分析程序，具有代表性-For the well-known UCI machine learning repository of the iris data of kmeans cluster analysis procedure, a representative
KMeans
- 采用C++实现Kmeans聚类算法，距离的计算采用的是欧氏距离。数据集是weka自带的data里面的iris.arff数据集。假设样本所有属性都是数值属性，不考虑分类属性。-C++ implementation Kmeans classic clustering algorithm, the distance is calculated using the Euclidean distance. Data set is data that comes inside weka iris.arff
Kmeans
- 用matlab编写的K均值算法，测试数据为Iris数据，经调试运行良好！实验结果稳定！-K-means algorithm using matlab, test data for the Iris data, through debugging and running! Stability of the experimental results.
kMeans
- k-means算法,内带iris数据作为例子-k-means algorithm, within with the iris data as an example
myRBF_2
- 自己编写的RBF神经网络,采用的数据集是iris. 先使用KMeans找中心点，再训练RBF网络-I have written RBF neural network, using the data set is iris. First using KMeans find the center, retraining RBF network