LLE Based Pivot Selection for Similarity Search of Biological Data

DOI

10.2991/citcs.2012.266How to use a DOI?

Keywords

similarity search; metric-space indexing; pivot selection; locally linear embedding; dimensional reduction

Abstract

Distance-based indexing is a widely used technique for general purpose search. Pivot selection is the most crucial step of bulkloading a metric-space indexing tree. Current pivot selection methods are mainly based on linear methods. A non-linear method based on Locally Linear Embedding is proposed. Empirical results demonstrate that the performance of new method is superior to existing methods.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kewei Ma
AU  - Honglong Xu
AU  - Pang Yue
AU  - Fuli Lei
AU  - Sheng Liu
AU  - Ru Mao
AU  - Jiaxin Han
PY  - 2012/11
DA  - 2012/11
TI  - LLE Based Pivot Selection for Similarity Search of Biological Data
BT  - Proceedings of the 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 1049
EP  - 1052
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.266
DO  - 10.2991/citcs.2012.266
ID  - Ma2012/11
ER  -