如果您想使用在成员向量上定义的函数,但您的成员向量不是来自igraph聚类方法,这将非常有用。
参见
社区检测 cluster_edge_betweenness()
, cluster_fast_greedy()
, cluster_fluid_communities()
, cluster_infomap()
, cluster_label_prop()
, cluster_leading_eigen()
, cluster_leiden()
, cluster_louvain()
, cluster_optimal()
, cluster_spinglass()
, cluster_walktrap()
, compare()
, groups()
, make_clusters()
, membership()
, modularity.igraph()
, plot_dendrogram()
, split_join_distance()
, voronoi_cells()
示例
## Compare to the correct clustering
g <- (make_full_graph(10) + make_full_graph(10)) %>%
rewire(each_edge(p = 0.2))
correct <- rep(1:2, each = 10) %>% as_membership()
fc <- cluster_fast_greedy(g)
compare(correct, fc)
#> [1] 0
compare(correct, membership(fc))
#> [1] 0