The metrics are average clustering coefficient (ACC), normalized mutual information (NMI), and -score (). Averages of 50 different datasets. Standard deviations are in parentheses. The simulated netwo

Figshare2025-10-30 更新30

Adjusted Rand Index (ARI) for clustering (or classification) of networks in our three experiments.

网络聚类评估

算法性能

For experiments 1.1 to 1.5, we report the mean and the standard deviation (number in parenthesis) of ARI. Mean and standard deviation of ARI for experiments 1.1 to 1.5 under random clustering are 0 an

Figshare2015-12-02 更新20

The performance of ICESi methods at medium-size networks with categorical features at the nodes; with selected data pre-processing for each algorithm: The average ARI index and its standard deviation over 10 different data sets.

网络聚类评估

节点分类特征社区检测

The performance of ICESi methods at medium-size networks with categorical features at the nodes; with selected data pre-processing for each algorithm: The average ARI index and its standard deviation

NIAID Data Ecosystem20

Adjusted Rand Index (ARI) for clustering (or classification) of networks in our three experiments.

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