Power iteration

Known as: Power method 
In mathematics, the power iteration is an eigenvalue algorithm: given a matrix , the algorithm will produce a number , which is the greatest (in… (More)
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Topic mentions per year

Topic mentions per year

1958-2017
020406019582017

Papers overview

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2018
2018
Principal component analysis (PCA) is one of the most powerful tools for analyzing matrices in machine learning. In this paper… (More)
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2016
2016
Due to its wide range of applications, matching between two graphs has been extensively studied and remains an active topic. By… (More)
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Highly Cited
2013
Highly Cited
2013
This paper considers the sparse eigenvalue problem, which is to extract dominant (largest) sparse eigenvectors with at most k non… (More)
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2012
2012
Spectral clustering (SC) is currently one of the most popular clustering techniques because of its advantages over conventional… (More)
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Highly Cited
2011
Highly Cited
2011
Recent work on eigenvalues and eigenvectors for tensors of order m ≥ 3 has been motivated by applications in blind source… (More)
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Highly Cited
2010
Highly Cited
2010
We present a simple and scalable graph clustering method called power iteration clustering (PIC). PIC finds a very low… (More)
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Highly Cited
2010
Highly Cited
2010
In this paper we develop a new approach to sparse principal component analysis (sparse PCA). We propose two single-unit and two… (More)
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Highly Cited
2007
Highly Cited
2007
PageRank is one of the principle criteria according to which Google ranks Web pages. PageRank can be interpreted as a frequency… (More)
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Highly Cited
2005
Highly Cited
2005
This paper introduces a fast implementation of the power iteration method for subspace tracking, based on an approximation that… (More)
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2005
2005
The power iteration is a classical method for computing the eigenvector associated with the largest eigenvalue of a matrix. The… (More)
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