A Review of Manifold Learning Algorithms
碩士 === 國立臺灣大學 === 數學研究所 === 107 === Manifold learning algorithms are techniques utilized to reduce the dimen sion of data sets. These methods includes the nonlinear (implicit) ones, and the linear (projective) ones. Among the nonlinear are Laplacian eigenmaps and locally linear embeddings (LLE); an...
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ndltd-TW-107NTU054790032019-11-16T05:27:58Z http://ndltd.ncl.edu.tw/handle/rhb4m3 A Review of Manifold Learning Algorithms 流形學習回顧 Yi-Ping Huang 黃毅平 碩士 國立臺灣大學 數學研究所 107 Manifold learning algorithms are techniques utilized to reduce the dimen sion of data sets. These methods includes the nonlinear (implicit) ones, and the linear (projective) ones. Among the nonlinear are Laplacian eigenmaps and locally linear embeddings (LLE); and among the linear are metric multi dimensional scaling (MDS), ISOMAP, locally preserving projections (LPP) and derivatives of them. All these methods give rise to trace minimization problems and, as a result, eigenvalue problems. We give a common frame work for them and discuss their relationships. Ai-Nung Wang 王藹農 2019 學位論文 ; thesis 43 en_US |
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碩士 === 國立臺灣大學 === 數學研究所 === 107 === Manifold learning algorithms are techniques utilized to reduce the dimen sion of data sets. These methods includes the nonlinear (implicit) ones, and the linear (projective) ones. Among the nonlinear are Laplacian eigenmaps and locally linear embeddings (LLE); and among the linear are metric multi dimensional scaling (MDS), ISOMAP, locally preserving projections (LPP) and derivatives of them. All these methods give rise to trace minimization problems and, as a result, eigenvalue problems. We give a common frame work for them and discuss their relationships.
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author2 |
Ai-Nung Wang |
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Ai-Nung Wang Yi-Ping Huang 黃毅平 |
author |
Yi-Ping Huang 黃毅平 |
spellingShingle |
Yi-Ping Huang 黃毅平 A Review of Manifold Learning Algorithms |
author_sort |
Yi-Ping Huang |
title |
A Review of Manifold Learning Algorithms |
title_short |
A Review of Manifold Learning Algorithms |
title_full |
A Review of Manifold Learning Algorithms |
title_fullStr |
A Review of Manifold Learning Algorithms |
title_full_unstemmed |
A Review of Manifold Learning Algorithms |
title_sort |
review of manifold learning algorithms |
publishDate |
2019 |
url |
http://ndltd.ncl.edu.tw/handle/rhb4m3 |
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