Knihobot

A Randomized Approximate Nearest Neighbors Algorithm

Theory and Applications

Parametry

  • 136 stránek
  • 5 hodin čtení

Více o knize

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 vydání
2012
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Titul
A Randomized Approximate Nearest Neighbors Algorithm
Podtitul
Theory and Applications
Jazyk
anglicky
Rok vydání
2012
Vazba
měkká
Počet stran
136
ISBN13
9783659128387
Série
Anotace
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.