Distributed density support approximation and topology-preserving dimensionality reduction.

碩士 === 國立東華大學 === 應用數學系 === 103 === This work explores topology-preserving dimensionality reduction based on novel distributed density support approximation. Given training data are assumed as a sample from a d-dimensional density support. Under the assumption, the underlying density suppo...

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Bibliographic Details
Main Authors: Sheng-Shiung Wu, 吳勝雄
Other Authors: Jiann-Ming Wu
Format: Others
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/00226405468659469146

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