2023
DOI: 10.1049/cit2.12230
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A multi‐modal clustering method for traditional Chinese medicine clinical data via media convergence

Abstract: Media convergence is a media change led by technological innovation. Applying media convergence technology to the study of clustering in Chinese medicine can significantly exploit the advantages of media fusion. Obtaining consistent and complementary information among multiple modalities through media convergence can provide technical support for clustering. This article presents an approach based on Media Convergence and Graph convolution Encoder Clustering (MCGEC) for traditonal Chinese medicine (TCM) clinic… Show more

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Cited by 8 publications
(2 citation statements)
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“…To analyse a group of homogeneous locations and simplify the network, clustering methods are used to partition and differentiate locations. The clustering method has been used in different disciplines to group data points such as biology [37], medicine [38], chemistry [39], and computer science [40].…”
Section: Clustering Methodsmentioning
confidence: 99%
“…To analyse a group of homogeneous locations and simplify the network, clustering methods are used to partition and differentiate locations. The clustering method has been used in different disciplines to group data points such as biology [37], medicine [38], chemistry [39], and computer science [40].…”
Section: Clustering Methodsmentioning
confidence: 99%
“…The 10th article presents an approach based on Media Convergence and Graph convolution Encoder Clustering (MCGEC) for TCM clinical data [10]. It feeds modal information and graph structure from media information into a multi-modal graph convolution encoder to obtain the media feature representation learnt from multiple modalities.…”
mentioning
confidence: 99%