搜索资源列表
k_means
- k-means算法 Iris.data数据集上的实验-experiments on the k-means algorithm Iris.data data sets
DMProject
- 数据挖掘算法KNN、K-means的实现与挖掘Iris数据集的结果分析-Data mining algorithms, KNN, the K-means to achieve mining Iris data set
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
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
Kjunzhi
- 模式识别大作业K均值算法matlab平台实现，内有iris数据用于测试一起其他相关资料。-Pattern Recognition great job K-means algorithm matlab platform implemented within the iris data used for testing along with other relevant information.
Cluster
- 使用k-means、k-media、层次聚类方法，并通过iris数据集测试-Using k-means, k-media, hierarchical clustering method, and through the iris data set test
11
- We return to the iris data of the previous example to illustrate the Rand index, by comparing the k-means results with the true class labels. First we get some of the needed information to construct the matching matrix.