Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents

Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents

Biomedicine is a pillar of the collective, scientific effort of human self-discovery, as well as a major source of humanistic data codified primarily in biomedical documents. Despite their rigid structure, maintaining and updating a considerably-sized collection of such documents is a task of overwh...

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Bibliographic Details
Main Authors: Georgios Drakopoulos, Andreas Kanavos, Ioannis Karydis, Spyros Sioutas, Aristidis G. Vrahatis
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Computation
Subjects:
humanistic data
higher order data
medical information retrieval
topic clustering
PubMed
MeSH Ontology
tensor algebra
tucker factorization
Online Access:https://www.mdpi.com/2079-3197/5/3/34

Internet

https://www.mdpi.com/2079-3197/5/3/34

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