Description: CURE（Clustering Using Representatives）是一种针对大型数据库的高效的聚类算法。基于划分的传统的聚类算法得到的是球状的，相等大小的聚类，对异常数据比较脆弱。CURE采用了用多个点代表一个簇的方法，可以较好的处理以上问题。并且在处理大数据量的时候采用了随机取样，分区的方法，来提高其效率，使得其可以高效的处理大量数据。-CURE (Clustering Using Representatives) is a database for large and efficient clustering algorithm. Based on the breakdown of the traditional clustering algorithm is spherical, equal-sized cluster of abnormal data more vulnerable. CURE adopted by a number of points on behalf of a cluster approach can better deal with these questions. And deal with large amount of data when using the random sampling, area way to improve its efficiency so that it can handle large amounts of data and efficient. Platform: |
Size: 21504 |
Author:肖宪 |
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Description: 用c++实现的CURE聚类算法 这是即DBSCAN算法后出现的基于密度的聚类算法-With c++ Realized CURE clustering algorithm DBSCAN algorithm that is, this is occurring after the density-based clustering algorithm Platform: |
Size: 44032 |
Author:刘年 |
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Description: 用matlab实现聚类算法，注意是层次聚类和未知类别聚类算法！-Clustering algorithm using matlab implementation, pay attention to are hierarchical clustering and unknown type of clustering algorithm! Platform: |
Size: 16384 |
Author:张晓飞 |
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