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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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Publicado no: | Comput Intell Neurosci |
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Main Authors: | , , , |
Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
Hindawi Publishing Corporation
2016
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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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