Introduction

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Laplacian eigenmaps, are used to reduce the dimensions and extractung the feature to data points. In the aspect of operation efficiency, it avoids the adjacent map to re-build in the entire dataset after the new point arriving, so greatly reducing the computational complexity. Therefore it is often used for facial recognition.

Algorithm

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Examples

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Sources

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Facial recognition

Notes

Faceial recognition