Computing the nearest euclidean distance matrix with low embedding dimensions
Euclidean distance embedding appears in many high-profile applications including wireless sensor network localization, where not all pairwise distances among sensors are known or accurate. The classical Multi-Dimensional Scaling (cMDS) generally works well when the partial or contaminated Euclidean...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
2014-11-08.
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| Subjects: | |
| Online Access: | Get fulltext |