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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.
Nákup knihy
A Randomized Approximate Nearest Neighbors Algorithm, Andrei Osipov
- Jazyk
- Rok vydania
- 2012
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- Titul
- A Randomized Approximate Nearest Neighbors Algorithm
- Podtitul
- Theory and Applications
- Jazyk
- anglicky
- Autori
- Andrei Osipov
- Vydavateľ
- LAP LAMBERT Academic Publishing
- Rok vydania
- 2012
- Väzba
- mäkká
- Počet strán
- 136
- ISBN13
- 9783659128387
- Série
- Anotácia
- 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.