使用IDL语言实现的图像分类，包括K-Means和ISODATA两种方法，程序逻辑清晰，注释详细。-Using the IDL language to achieve image classification, including two methods which are K-Means and ISODATA. The programs are clear in logic. There are also detailed annotations.

KAV是利用Visual C++ 6.0编写的一个小程序，能实现对特定数据结果的文本数据进行聚类分析，所使用的聚类方法是K均值。 -KAV is the use of Visual C++ 6.0 to prepare a small procedure to achieve the outcome of specific data on the text data clustering analysis, the use of the K-means clustering method.

两种影像分类方法：K均值法和ISODATA法，程序里带了示例数据-Two image classification methods: K means method and the ISODATA method, procedures inner tube of the sample data

K均值算法的实现，其中实现随机获取聚类中心-Realizing the K-means algorithm, which realize stochastic get clustering center