Table 3.

Authors engaged in acupuncture for cerebral infarction that details of knowledge clusters.

Cluster ID	Size	Silhouette	Mean (Year)	Label (LLR)	Label (MI)
0	23	0.911	2017	Motor aphasia	Prolonged flaccid paralysis
1	23	0.965	2014	Ischemic stroke	Prolonged flaccid paralysis
2	19	0.849	2021	Signaling pathway activation	Prolonged flaccid paralysis
3	18	0.971	2018	Convalescent-period ischemic stroke patient	Prolonged flaccid paralysis
4	17	0.869	2016	Tiaoshen kaiqiao acupuncture	Prolonged flaccid paralysis
15	6	0.992	2018	Treating ischemic stroke	Motor aphasia
17	5	0.979	2014	Acupuncture intervention	Motor aphasia

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.