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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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Detalhes bibliográficos
Publicado no:Comput Intell Neurosci
Main Authors: Zhang, Wen, Xiao, Fan, Li, Bin, Zhang, Siguang
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi Publishing Corporation 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4992544/
https://ncbi.nlm.nih.gov/pubmed/27579031
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/1096271
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