A CLUE for CLUster Ensembles
A CLUE for CLUster Ensembles
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DOI：
10.18637/jss.v014.i12
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发表时间：
2005-09
影响因子：
5.8
通讯作者：
K. Hornik
中科院分区：
文献类型：
--
作者：
K. Hornik
集群集成是一个给定的聚类问题的个人解决方案的集合，这是有用的或有必要考虑在广泛的应用。R包线索提供了一个可扩展的计算环境，用于创建和分析集群集合，具有表示分区和层次结构的基本数据结构，以及在这些基础上进行计算的设施，包括测量接近度和获得共识和“二级”集群的方法。
Cluster ensembles are collections of individual solutions to a given clustering problem which are useful or necessary to consider in a wide range of applications. The R package clue provides an extensible computational environment for creating and analyzing cluster ensembles, with basic data structures for representing partitions and hierarchies, and facilities for computing on these, including methods for measuring proximity and obtaining consensus and "secondary" clusterings.