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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Bibliographic Details
Main Authors: Yi-Ping Huang, 黃毅平
Other Authors: Ai-Nung Wang
Format: Others
Language:en_US
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/rhb4m3