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Incremental locally linear embedding
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DOI：10.1016/j.patcog.2005.04.006.png)
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摘要
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The locally linear embedding (LLE) algorithm belongs to a group of manifold learning methods that not only merely reduce data dimensionality, but also attempt to discover a true low dimensional structure of the data. In this paper, we propose an incremental version of LLE and experimentally. demonstrate its advantages in terms of topology preservation. Also compared to the original (batch) LLE, the incremental LLE needs to solve a much smaller optimization problem. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Keyword:
dimensionality reduction
LLE
online mapping
topology preservation
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