Multidimensional Scaling With Very Large Datasets-Reference-Cited by-同舟云学术

Multidimensional Scaling With Very Large Datasets

Published:2018-07-30 Issue:4 Volume:27 Page:935-939
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Paradis Emmanuel¹

Affiliation:

1. ISEM, IRD, Univ. Montpellier, CNRS, EPHE, Montpellier, France

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2018.1470001

Reference12 articles.

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2. The Convergence of a Class of Double-rank Minimization Algorithms 1. General Considerations

3. A vision for ubiquitous sequencing

4. A new approach to variable metric algorithms

5. Gay, D. M. (1990), “Usage Summary for Selected Optimization Routines,” Technical Report, Computing Science Technical Report No. 153, AT&T Bell Laboratories, Murray Hill, NJ 07974, USA. Available at http://netlib.bell-labs.com/netlib/port/

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