Sparse principal component analysis subject to prespecified cardinality of loadings-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Sparse principal component analysis subject to prespecified cardinality of loadings

Published:2015-07-22 Issue:4 Volume:31 Page:1403-1427
ISSN:0943-4062
Container-title:Computational Statistics
language:en
Short-container-title:Comput Stat

Author:

Adachi Kohei,Trendafilov Nickolay T.

Funder

Japan Society for the Promotion of Science London

The Leverhulme Trust, UK

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s00180-015-0608-4.pdf

Reference20 articles.

1. Akaike H (1974) A new look at the statistical model identification. IEEE Trans Automat Contr 19:716–723

2. d’Aspremont A, Bach F, Ghaoui LE (2008) Optimal solutions for sparse principal component analysis. J Mach Learn Res 9:1269–1294

3. Eckart C, Young G (1936) The approximation of one matrix by another of lower rank. Psychometrika 1:211–218

4. Enki DG, Trendafilov NT (2012) Sparse principal components by semi-partition clustering. Comput Stat 27:605–626

5. Izenman AJ (2008) Modern multivariate statistical techniques: regression, classification, and manifold learning. Springer, New York

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A critical assessment of sparse PCA (research): why (one should acknowledge that) weights are not loadings;Behavior Research Methods;2023-08-01

2. An algorithm for sparse factor analysis with common factors and/or specific factors dissociated from errors;Behaviormetrika;2023-02-01

3. Sparse correspondence analysis for large contingency tables;Advances in Data Analysis and Classification;2023-01-02

4. Simultaneous clustering and variable selection: A novel algorithm and model selection procedure;Behavior Research Methods;2022-09-09

5. Principal component analysis constrained by layered simple structures;Advances in Data Analysis and Classification;2022-05-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3