2019
DOI: 10.1007/978-3-030-22868-2_14
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Exploring Scientists’ Research Behaviors Based on LDA

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Cited by 1 publication
(2 citation statements)
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“…The objective is to provide brief descriptions of the members of a cluster. As a result, large clusters can be processed efficiently, and valuable statistical relationships can be generated for various tasks, including clustering, summarizing, evaluating, and determining similarity between clusters (Li et al, 2019).…”
Section: Latent Dirichlet Allocation (Lda) Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…The objective is to provide brief descriptions of the members of a cluster. As a result, large clusters can be processed efficiently, and valuable statistical relationships can be generated for various tasks, including clustering, summarizing, evaluating, and determining similarity between clusters (Li et al, 2019).…”
Section: Latent Dirichlet Allocation (Lda) Algorithmmentioning
confidence: 99%
“…The fuzzy clustering method was developed by Dunn in 1974 and improved by Bezdek in 1981 when he applied fuzzy theory to the clustering process (Y. Li, Chen, & Li, 2019). An important aspect of FCM is using the Euclidean distance, which is based on a criterion of the distance between samples.…”
Section: 83fuzzy C-means Algorithmmentioning
confidence: 99%