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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.
Zakup książki
A Randomized Approximate Nearest Neighbors Algorithm, Andrei Osipov
- Język
- Rok wydania
- 2012
- Oprawa
- (miękka)
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- Tytuł
- A Randomized Approximate Nearest Neighbors Algorithm
- Podtytuł
- Theory and Applications
- Język
- angielski
- Autorzy
- Andrei Osipov
- Rok wydania
- 2012
- Oprawa
- miękka
- Liczba stron
- 136
- ISBN13
- 9783659128387
- Seria
- Tagi
- Opis
- 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.