Table 7.

Keywords related to acupuncture for cerebral infarction that details knowledge clusters.

Cluster ID	Size	Silhouette	Mean (Year)	Label (LLR)	Label (MI)
0	18	0.938	2015	Inhibiting nf-kappa-b-mediated activation	Local anesthesia
1	16	0.798	2008	Mcp-induced protein	Local anesthesia
2	15	0.855	2012	Cerebral infarction	Local anesthesia
3	14	0.834	2014	Reporting quality	Local anesthesia
4	14	0.872	2012	Memory deficit	Local anesthesia
5	14	0.889	2013	Chinese herbal formula	Acupuncture therapy
6	14	0.712	2012	Chronic stage	Brain disease
7	13	0.934	2018	Treg balance	Local anesthesia
8	10	0.844	2015	Non-pharmacological treatment	Unblocked collateral
9	8	0.813	2011	Cerebral oedema	Unblocked collateral
10	6	0.974	2017	Xingnao Kaiqiao	Unblocked collateral

The cluster analysis results mainly include Cluster ID, mean year, size, silhouette, label (LLR), and label (MI). Cluster ID is the number after clustering, and Size represents the number of members contained in the cluster. The larger the size is, the smaller the number. Mean Year represents the average year of the literature in the cluster, which can be used to judge the distance of the cited literature in the cluster. The larger the log-likelihood ratio (LLR) is, the more representative the cluster category; mutual information (MI) is mainly used to represent the relationship between terms and categories in text mining, and it does not consider the frequency of feature words.