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SAE technical paper series, Volume 2016-01-1378.
Efficient method to solve large-scale eigenvalue problem in vibration is presented. NVH (Noise, Vibration and Harshness) performance is an important quality... 
CAD, CAM, and CAE | Vibration | Automatic transmissions
eJournal
Nature, ISSN 0028-0836, 01/2010, Volume 463, Issue 7278, pp. 178 - 183
Journal Article
2017, Lecture Notes in Computational Science and Engineering, ISBN 9783319624266, Volume 117
This book provides state-of-the-art and interdisciplinary topics on solving matrix eigenvalue problems, particularly by using recent petascale and upcoming... 
Computer mathematics | Algorithms | Numerical analysis | Computer software | Mathematics
Web Resource
Computers and Mathematics with Applications, ISSN 0898-1221, 04/2019, Volume 77, Issue 8, pp. 2207 - 2220
In this paper, we consider simultaneous band reduction of two dense symmetric matrices by congruent transformations. The ideas of simultaneous... 
Simultaneous band reduction | Matrix pencil | WY representation | Dense symmetric matrices | EIGENVALUES | MATHEMATICS, APPLIED | BLOCKED ALGORITHMS | FORM | AX=LAMBDABX | COMMUNICATION | PAIR | Algorithms | Reduction | Matrix algebra | Mathematical analysis | Matrix methods | Computer architecture
Journal Article
ETRI Journal, ISSN 1225-6463, 06/2016, Volume 38, Issue 3, pp. 540 - 550
Spectral clustering is a powerful tool for exploratory data analysis. Many existing spectral clustering algorithms typically measure the similarity by using a... 
Journal Article
BMC Genomics, ISSN 1471-2164, 04/2012, Volume 13, Issue 1, pp. 136 - 136
Journal Article
The Plant Journal, ISSN 0960-7412, 01/2017, Volume 89, Issue 2, pp. 181 - 194
Journal Article
Numerical Algorithms, ISSN 1017-1398, 06/2017, Volume 75, Issue 2, pp. 413 - 433
Complex moment-based eigensolvers for solving interior eigenvalue problems have been studied because of their high parallel efficiency. Recently, we proposed... 
Generalized eigenvalue problem | Block Krylov subspace method | Complex moment-based eigensolver | MATHEMATICS, APPLIED | PROJECTION METHOD
Journal Article
ETRI Journal, ISSN 1225-6463, 06/2016, Volume 38, Issue 3, pp. 540 - 550
Spectral clustering is a powerful tool for exploratory data analysis. Many existing spectral clustering algorithms typically measure the similarity by using a... 
similarity measure | shared nearest neighbors | directed | Spectral clustering | data analysis | NN graph | Data analysis | Directed knn graph | Similarity measure | Shared nearest neighbors | directed kNN graph | ALGORITHM | TELECOMMUNICATIONS | ENGINEERING, ELECTRICAL & ELECTRONIC | 전자/정보통신공학
Journal Article
Intelligent Data Analysis, ISSN 1088-467X, 2018, Volume 22, Issue 4, pp. 751 - 765
The similarity measure for complex data may not precisely reflect the true data structure, which leads to suboptimal clustering performance for spectral... 
similarity measure | Spectral clustering | adaptive neighbors | local structure | Kernel space | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Data structures | Data points | Spectra | Similarity | Clustering | Similarity measures
Journal Article
Journal of the American College of Cardiology, ISSN 0735-1097, 04/2019, Volume 73, Issue 15, pp. S13 - S13
Journal Article
Journal of Computing Science and Engineering, ISSN 1976-4677, 2017, Volume 11, Issue 4, pp. 121 - 129
Journal Article
Journal of computing science and engineering, ISSN 1976-4677, 2017, Volume 11, Issue 4, pp. 121 - 129
Feature selection has been widely established as an efficient technique for microarray data analysis. Feature selection aims to search for the most important... 
Journal Article
Nature Medicine, ISSN 1078-8956, 10/2012, Volume 18, Issue 10, pp. 1570 - 1574
Journal Article