论文标题
从顶点链接中用于分层聚类的R软件包HCV
The R Package HCV for Hierarchical Clustering from Vertex-links
论文作者
论文摘要
HCV软件包实现了空间数据的分层聚类。它不仅需要在样本中非地理特征中的聚类结果，而且还需要在集群中彼此接近地理。我们修改了通常使用层次集聚集算法来引入空间同质性，通过将地理位置视为顶点，并将空间邻接转换为是否存在两次顶点之间的共享边缘，从而引入了空间同质性。顶点链接的主要函数HCV遵守限制会在每个迭代步骤中自动执行空间连续性属性。此外，还提供了两种找到适当数量的聚类并报告群集成员的方法。
The HCV package implements the hierarchical clustering for spatial data. It requires clustering results not only homogeneous in non-geographical features among samples but also geographically close to each other within a cluster. We modified typically used hierarchical agglomerative clustering algorithms to introduce the spatial homogeneity, by considering geographical locations as vertices and converting spatial adjacency into whether a shared edge exists between a pair of vertices. The main function HCV obeying constraints of the vertex links automatically enforces the spatial contiguity property at each step of iterations. In addition, two methods to find an appropriate number of clusters and to report cluster members are also provided.
