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Focusing on the computational challenges of finding nearest neighbors in high-dimensional spaces, the book introduces a randomized approximate algorithm that significantly reduces the operational costs compared to traditional methods. While the naive approach can be prohibitively time-consuming, especially with large datasets, this new algorithm offers a practical solution for applications in data mining, image processing, and machine learning. The text includes a probabilistic analysis and showcases the algorithm's effectiveness through numerical experiments.
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A Randomized Approximate Nearest Neighbors Algorithm, Andrei Osipov
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- Année de publication
- 2012
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