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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
- Taal
- Jaar van publicatie
- 2012
- product-detail.submit-box.info.binding
- (Paperback)
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- Titel
- A Randomized Approximate Nearest Neighbors Algorithm
- Ondertitel
- Theory and Applications
- Taal
- Engels
- Auteurs
- Andrei Osipov
- Uitgever
- LAP LAMBERT Academic Publishing
- Jaar van publicatie
- 2012
- Formaat
- Paperback
- Aantal pagina's
- 136
- ISBN13
- 9783659128387
- Reeks
- Aantekening
- 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.