CLUSTERING OF MEDLINE DOCUMENTS USING SEMI-SUPERVISED SPECTRAL CLUSTERING
AbinCherian · International Journal of Research in Engineering and Technology · 2014
We are considering: local-content (LC) information, global-content (GC) information from PubMed and MESH (medical subject heading-MS) for the clustering of bio-medical documents.The performances of MEDLINE document clustering are enhanced from previous methods by combining both the LC and GC.We propose a semi-supervised spectral clustering method to overcome the limitations of representation space of earlier methods.