文件名称:k-means-and-cure-in-Iris-Data-Set
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [C/C++] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 185kb
- 下载次数：
- 0次
- 提 供 者：
- 牛**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
聚类算法实验,采用两种不同类型的聚类算法:基于划分的聚类方法k-means和基于层次的聚类方法CURE，采用的数据集是：Iris Data Set，数据集中共包含150组数据信息。
材料中有详细的说明文档，具体介绍了算法实现的细节，很容易理解-Clustering algorithm experiment, using two different types of clustering algorithm: Partition-based clustering method k-means and hierarchical clustering method based on CURE, the use of the data set is: Iris Data Set, the data set contains a total of 150 sets of data information .
Materials are described in detail in the documentation, the specific details described algorithm, it is easy to understand
材料中有详细的说明文档，具体介绍了算法实现的细节，很容易理解-Clustering algorithm experiment, using two different types of clustering algorithm: Partition-based clustering method k-means and hierarchical clustering method based on CURE, the use of the data set is: Iris Data Set, the data set contains a total of 150 sets of data information .
Materials are described in detail in the documentation, the specific details described algorithm, it is easy to understand
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下载文件列表
聚类算法实验\CURE.cpp
............\iris.data
............\K-means.cpp
............\说明文档.doc
聚类算法实验
............\iris.data
............\K-means.cpp
............\说明文档.doc
聚类算法实验