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kmeans
- algorithm for k means clustering in matlab
K-means-update
- 简明扼要介绍k均值算法使用方法及注意事项，有利于初学者学习-A concise introduction to the use of methods and precautions k-means algorithm, beneficial for beginners to learn
Simulated-Annealing
- 由于K-means 聚类方法对遥感图像进行分类时，对训练样本的选取依赖性很大，容易陷入局部最优的陷阱的情况，本文提出利用模拟退化算法对K-means 的聚类进行优化以获得 全局最优解的分类新方案。并以多波段影像为例进行验证分析，结果表明该方法可行，收敛 结果优于K-means 聚类算法，分类精度相对传统的K-means 算法更高。-Because K-means clustering classification depend on the training sample selecti
X-means-Extending-K-means
- X-means k-means扩展 论文 聚类-X-means Extending of k-means cluster
K-means
- 初略介绍k-means，初学者可通过此文档认识什么是k-means算法-Slightly introduced at the beginning of k- means, beginners can pass this document to know what is k- means algorithm
K-means
- k-means 在hadoop mahout上的运作-the K-Means algorithm using on hadiio mahout