Table 6.

Cited journal engaged in acupuncture for cerebral infarction that details knowledge clusters.

Cluster ID	Size	Silhouette	Mean (Year)	Label (LLR)	Label (MI)
0	20	0.911	2012	Unblocked collateral	Following acute middle cerebral artery infarction
1	19	0.907	2010	Diabetes mellitu	Global ischemia model
2	15	0.909	2009	Ischemic stroke	Following acute middle cerebral artery infarction
3	15	0.963	2014	Therapeutic effect	Following acute middle cerebral artery infarction
4	15	0.900	2009	Electroacupuncture effect	Following acute middle cerebral artery infarction
5	14	0.907	2006	Post-stroke rehabilitation	Subacute stroke rehabilitation
6	11	0.987	2012	Electroacupuncture effect	Post-stroke spasticity rat
7	6	0.983	2012	Rat model	Following acute middle cerebral artery infarction
8	6	0.929	2005	Stroke rehabilitation	Ischemic stroke
9	5	0.969	2005	Hypoxic ischemic encephalopathy	Ischemic stroke
10	4	0.929	2006	Motor function recovery	Ischemic stroke

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.