Article ID Journal Published Year Pages File Type
10361324 Pattern Recognition 2005 4 Pages PDF
Abstract
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.
Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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