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...
Main Authors: | , |
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Format: | Others |
Published: |
2015
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Online Access: | http://ndltd.ncl.edu.tw/handle/00226405468659469146 |