Matches in SemOpenAlex for { <https://semopenalex.org/work/W4288388620> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W4288388620 abstract "Principal component analysis (PCA) is a linear dimensionality reduction algorithm in machine learning (ML), it plays an important role in feature extraction and noise removal. Its idea is to solve the maximum variance parameters of low dimensional spatial projection data by gradient descent (GD) method or stochastic gradient descent (SGD) method, so as to determine the optimal submanifold in low dimensional space. However, GD method or SGD method are easy to fall into the trap of local minimum, and are difficult to obtain the global optimal solution. In this paper, a t-distribution hunting search algorithm (THSA) with global optimization ability is proposed to replace the GD optimization method and improve the dimensionality reduction effect of PCA." @default.
- W4288388620 created "2022-07-29" @default.
- W4288388620 creator A5017586277 @default.
- W4288388620 creator A5031691710 @default.
- W4288388620 creator A5032023196 @default.
- W4288388620 creator A5038851564 @default.
- W4288388620 creator A5090205682 @default.
- W4288388620 date "2022-07-15" @default.
- W4288388620 modified "2023-10-16" @default.
- W4288388620 title "Principal Component Analysis Based on t-Distribution Hunting Search Algorithm" @default.
- W4288388620 cites W2069596439 @default.
- W4288388620 cites W2091423034 @default.
- W4288388620 cites W2120241974 @default.
- W4288388620 cites W2137152488 @default.
- W4288388620 cites W2143774762 @default.
- W4288388620 cites W2613089901 @default.
- W4288388620 cites W2789060365 @default.
- W4288388620 cites W2995063080 @default.
- W4288388620 cites W3135340469 @default.
- W4288388620 cites W3179654005 @default.
- W4288388620 doi "https://doi.org/10.1109/iceiec54567.2022.9835089" @default.
- W4288388620 hasPublicationYear "2022" @default.
- W4288388620 type Work @default.
- W4288388620 citedByCount "0" @default.
- W4288388620 crossrefType "proceedings-article" @default.
- W4288388620 hasAuthorship W4288388620A5017586277 @default.
- W4288388620 hasAuthorship W4288388620A5031691710 @default.
- W4288388620 hasAuthorship W4288388620A5032023196 @default.
- W4288388620 hasAuthorship W4288388620A5038851564 @default.
- W4288388620 hasAuthorship W4288388620A5090205682 @default.
- W4288388620 hasConcept C111030470 @default.
- W4288388620 hasConcept C11413529 @default.
- W4288388620 hasConcept C115961682 @default.
- W4288388620 hasConcept C126255220 @default.
- W4288388620 hasConcept C134306372 @default.
- W4288388620 hasConcept C151300846 @default.
- W4288388620 hasConcept C153180895 @default.
- W4288388620 hasConcept C153258448 @default.
- W4288388620 hasConcept C154945302 @default.
- W4288388620 hasConcept C206688291 @default.
- W4288388620 hasConcept C27438332 @default.
- W4288388620 hasConcept C2777036070 @default.
- W4288388620 hasConcept C33923547 @default.
- W4288388620 hasConcept C41008148 @default.
- W4288388620 hasConcept C50644808 @default.
- W4288388620 hasConcept C52622490 @default.
- W4288388620 hasConcept C57493831 @default.
- W4288388620 hasConcept C70518039 @default.
- W4288388620 hasConcept C99498987 @default.
- W4288388620 hasConceptScore W4288388620C111030470 @default.
- W4288388620 hasConceptScore W4288388620C11413529 @default.
- W4288388620 hasConceptScore W4288388620C115961682 @default.
- W4288388620 hasConceptScore W4288388620C126255220 @default.
- W4288388620 hasConceptScore W4288388620C134306372 @default.
- W4288388620 hasConceptScore W4288388620C151300846 @default.
- W4288388620 hasConceptScore W4288388620C153180895 @default.
- W4288388620 hasConceptScore W4288388620C153258448 @default.
- W4288388620 hasConceptScore W4288388620C154945302 @default.
- W4288388620 hasConceptScore W4288388620C206688291 @default.
- W4288388620 hasConceptScore W4288388620C27438332 @default.
- W4288388620 hasConceptScore W4288388620C2777036070 @default.
- W4288388620 hasConceptScore W4288388620C33923547 @default.
- W4288388620 hasConceptScore W4288388620C41008148 @default.
- W4288388620 hasConceptScore W4288388620C50644808 @default.
- W4288388620 hasConceptScore W4288388620C52622490 @default.
- W4288388620 hasConceptScore W4288388620C57493831 @default.
- W4288388620 hasConceptScore W4288388620C70518039 @default.
- W4288388620 hasConceptScore W4288388620C99498987 @default.
- W4288388620 hasLocation W42883886201 @default.
- W4288388620 hasOpenAccess W4288388620 @default.
- W4288388620 hasPrimaryLocation W42883886201 @default.
- W4288388620 hasRelatedWork W2089497633 @default.
- W4288388620 hasRelatedWork W2105055468 @default.
- W4288388620 hasRelatedWork W2141406155 @default.
- W4288388620 hasRelatedWork W2158704926 @default.
- W4288388620 hasRelatedWork W2169954946 @default.
- W4288388620 hasRelatedWork W2347213675 @default.
- W4288388620 hasRelatedWork W2373052636 @default.
- W4288388620 hasRelatedWork W3015962327 @default.
- W4288388620 hasRelatedWork W4288388620 @default.
- W4288388620 hasRelatedWork W2611813480 @default.
- W4288388620 isParatext "false" @default.
- W4288388620 isRetracted "false" @default.
- W4288388620 workType "article" @default.