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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
- Language
- Released
- 2012
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- (Paperback)
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- Title
- A Randomized Approximate Nearest Neighbors Algorithm
- Subtitle
- Theory and Applications
- Language
- English
- Authors
- Andrei Osipov
- Publisher
- LAP LAMBERT Academic Publishing
- Released
- 2012
- Format
- Paperback
- Pages
- 136
- ISBN13
- 9783659128387
- Series
- Description
- 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.