Using SVD on Clusters to Improve Precision of Interdocument Similarity Measure

Recently, LSI (Latent Semantic Indexing) based on SVD (Singular Value Decomposition) is proposed to overcome the problems of polysemy and homonym in traditional lexical matching. However, it is usually criticized as with low discriminative power for representing documents although it has been valida...

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Detalles Bibliográficos
Autores principales: Zhang, Wen, Xiao, Fan, Li, Bin, Zhang, Siguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4992544/
https://www.ncbi.nlm.nih.gov/pubmed/27579031
http://dx.doi.org/10.1155/2016/1096271

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4992544/
https://www.ncbi.nlm.nih.gov/pubmed/27579031
http://dx.doi.org/10.1155/2016/1096271

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