Matches in SemOpenAlex for { <https://semopenalex.org/work/W2057164733> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W2057164733 endingPage "10493" @default.
- W2057164733 startingPage "10485" @default.
- W2057164733 abstract "Probabilistic latent semantic analysis (PLSA) is a double structure mixture model which has got a wide application in text and web mining. This method is capable of establishing hidden semantic relations among the observed features, using a number of latent variables. In this approach, the selection of the correct number of latent variables is critical. In the most of the previous researches, the number of latent topics was selected based on the number of invoked classes. This paper presents a method, based on backward elimination approach, which is capable of unsupervised order selection in PLSA. This method starts with a model having a number of components more than the needed value, and then prunes the mixtures to reach their optimum size. During the elimination process, proper selection of some latent variables which must be deleted is the most essential problem, and its relation to the final performance of the pruned model is straightforward. To treat this problem, we introduce a new combined pruning method which selects the best options for removal, while keeping a low computational cost, at all. We conducted some experiments on two datasets from Reuters-21578 corpus. The obtained results show that this algorithm leads to an optimized number of latent variables and in turn achieves better clustering performance compared to the conventional model selection methods. It also shows superiority over the case in which a PLSA model with a fixed number of latent variables, equal to the real number of clusters, is exploited." @default.
- W2057164733 created "2016-06-24" @default.
- W2057164733 creator A5006262011 @default.
- W2057164733 creator A5044847379 @default.
- W2057164733 date "2009-09-01" @default.
- W2057164733 modified "2023-09-27" @default.
- W2057164733 title "Using backward elimination with a new model order reduction algorithm to select best double mixture model for document clustering" @default.
- W2057164733 cites W113214667 @default.
- W2057164733 cites W1579271636 @default.
- W2057164733 cites W1612003148 @default.
- W2057164733 cites W1651093245 @default.
- W2057164733 cites W1738091461 @default.
- W2057164733 cites W1965341892 @default.
- W2057164733 cites W1971784203 @default.
- W2057164733 cites W2015245929 @default.
- W2057164733 cites W2049633694 @default.
- W2057164733 cites W2052268454 @default.
- W2057164733 cites W2064580901 @default.
- W2057164733 cites W2064742743 @default.
- W2057164733 cites W2070670538 @default.
- W2057164733 cites W2107551505 @default.
- W2057164733 cites W2107743791 @default.
- W2057164733 cites W2127218421 @default.
- W2057164733 cites W2132417028 @default.
- W2057164733 cites W2134731454 @default.
- W2057164733 cites W2141734078 @default.
- W2057164733 cites W2142635246 @default.
- W2057164733 cites W2168175751 @default.
- W2057164733 doi "https://doi.org/10.1016/j.eswa.2009.01.068" @default.
- W2057164733 hasPublicationYear "2009" @default.
- W2057164733 type Work @default.
- W2057164733 sameAs 2057164733 @default.
- W2057164733 citedByCount "6" @default.
- W2057164733 countsByYear W20571647332016 @default.
- W2057164733 countsByYear W20571647332018 @default.
- W2057164733 countsByYear W20571647332019 @default.
- W2057164733 crossrefType "journal-article" @default.
- W2057164733 hasAuthorship W2057164733A5006262011 @default.
- W2057164733 hasAuthorship W2057164733A5044847379 @default.
- W2057164733 hasConcept C108010975 @default.
- W2057164733 hasConcept C111335779 @default.
- W2057164733 hasConcept C112933361 @default.
- W2057164733 hasConcept C11413529 @default.
- W2057164733 hasConcept C119857082 @default.
- W2057164733 hasConcept C124101348 @default.
- W2057164733 hasConcept C153180895 @default.
- W2057164733 hasConcept C154945302 @default.
- W2057164733 hasConcept C170133592 @default.
- W2057164733 hasConcept C2524010 @default.
- W2057164733 hasConcept C33923547 @default.
- W2057164733 hasConcept C41008148 @default.
- W2057164733 hasConcept C49937458 @default.
- W2057164733 hasConcept C51167844 @default.
- W2057164733 hasConcept C6557445 @default.
- W2057164733 hasConcept C70727504 @default.
- W2057164733 hasConcept C73555534 @default.
- W2057164733 hasConcept C81917197 @default.
- W2057164733 hasConcept C86803240 @default.
- W2057164733 hasConcept C93959086 @default.
- W2057164733 hasConceptScore W2057164733C108010975 @default.
- W2057164733 hasConceptScore W2057164733C111335779 @default.
- W2057164733 hasConceptScore W2057164733C112933361 @default.
- W2057164733 hasConceptScore W2057164733C11413529 @default.
- W2057164733 hasConceptScore W2057164733C119857082 @default.
- W2057164733 hasConceptScore W2057164733C124101348 @default.
- W2057164733 hasConceptScore W2057164733C153180895 @default.
- W2057164733 hasConceptScore W2057164733C154945302 @default.
- W2057164733 hasConceptScore W2057164733C170133592 @default.
- W2057164733 hasConceptScore W2057164733C2524010 @default.
- W2057164733 hasConceptScore W2057164733C33923547 @default.
- W2057164733 hasConceptScore W2057164733C41008148 @default.
- W2057164733 hasConceptScore W2057164733C49937458 @default.
- W2057164733 hasConceptScore W2057164733C51167844 @default.
- W2057164733 hasConceptScore W2057164733C6557445 @default.
- W2057164733 hasConceptScore W2057164733C70727504 @default.
- W2057164733 hasConceptScore W2057164733C73555534 @default.
- W2057164733 hasConceptScore W2057164733C81917197 @default.
- W2057164733 hasConceptScore W2057164733C86803240 @default.
- W2057164733 hasConceptScore W2057164733C93959086 @default.
- W2057164733 hasIssue "7" @default.
- W2057164733 hasLocation W20571647331 @default.
- W2057164733 hasOpenAccess W2057164733 @default.
- W2057164733 hasPrimaryLocation W20571647331 @default.
- W2057164733 hasRelatedWork W2109343132 @default.
- W2057164733 hasRelatedWork W2154587273 @default.
- W2057164733 hasRelatedWork W2185353617 @default.
- W2057164733 hasRelatedWork W2185690806 @default.
- W2057164733 hasRelatedWork W2296297476 @default.
- W2057164733 hasRelatedWork W2364207564 @default.
- W2057164733 hasRelatedWork W2377594161 @default.
- W2057164733 hasRelatedWork W2768286989 @default.
- W2057164733 hasRelatedWork W3009569740 @default.
- W2057164733 hasRelatedWork W4238088771 @default.
- W2057164733 hasVolume "36" @default.
- W2057164733 isParatext "false" @default.
- W2057164733 isRetracted "false" @default.
- W2057164733 magId "2057164733" @default.
- W2057164733 workType "article" @default.