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A Randomized Approximate Nearest Neighbors Algorithm

Theory and Applications

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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
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Titel
A Randomized Approximate Nearest Neighbors Algorithm
Ondertitel
Theory and Applications
Taal
Engels
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.