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Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis
Published on Sep 14, 20074186 Views
To unravel the concept structure and dynamics of the bioinformatics field, we analyze a set of 7401 publications from the Web of Science and MEDLINE databases, publication years 1981–2004. For delinea
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Chapter list
Dynamic Hybrid Clustering of Bioinformatics by Incorporating Text Mining and Citation Analysis 00:03
Overview of the presentation00:21
General context00:53
Agglomerative hierarchical clustering01:42
Indexing in Vector Space Model02:46
Bibliometrics and network analysis03:37
Hybrid (integrated) clustering04:29
Hybrid clustering: intermediate integration04:49
Weighted linear combination (linco)06:18
Fisher’s inverse chi-square method (1)07:20
Fisher’s inverse chi-square method (2)07:42
Fisher’s inverse chi-square method (3)08:53
Conclusions from previous research09:26
Dynamic hybrid mapping of bioinformatics10:21
Number of clusters and LSI factors10:53
Number of clusters: stability diagram12:39
Number of clusters: link-based Silhouette values13:02
Dendrogram13:15
slide 1913:41
slide 2015:21
Dynamics16:10
Dynamic term networks17:11
Conclusions (1)17:21
Conclusions (2)18:05