Description: MDS is a statistic tool for reduction of dimensionality, using as input a distance matrix of dimensions n × n.
With this package, we address these problems by means of three algorithms:
- Divide and Conquer MDS developed by Delicado and Pachon-Garcia, (2020) <arXiv:2007.11919>.
- Fast MDS, which is an implementation of Tynia, Y., L. Jinze, M. Leonard, and W. Wei, (2006).
- MDS based on Gower interpolation, which uses Gower interpolation formula as described in Gower, J.C. and D.J, Hand (1995, ISBN: 978-0-412-71630-0).
The main idea of these methods is based on partitioning the dataset into small pieces, where classical methods can work. In order to align all the solutions, it is used Procrustes formula as described in Borg, I. and Groenen, P. (2005, ISBN : 978-0-387-25150-9).
Packaged: 2021-03-29 11:44:01 UTC; cristianpachongarcia

- Divide-and-conquer MDS developed by Delicado P. and C. Pachon-Garcia (2021) <arXiv:2007.11919>.
- Fast MDS, which is an implementation of Yang, T., J. Liu, L. McMillan, and W. Wang (2006).
- Interpolation MDS, which uses Gower's interpolation formula as described in Gower, J. C. and D. J. Hand (1995, ISBN: 978-0-412-71630-0).
The main idea of these algorithms is based on partitioning the data set into small pieces, where classical methods can work. In order to align all the solutions, it is used Procrustes formula as described in Borg, I. and P. Groenen (2005, ISBN : 978-0-387-25150-9).
Packaged: 2021-10-01 15:11:20 UTC; cristianpachon

Description: MDS is a statistic tool for reduction of dimensionality, using as input a distance
matrix of dimensions n × n. When n is large, classical algorithms suffer from
computational problems and MDS configuration can not be obtained.
- Divide-and-conquer MDS proposed by Delicado P. and C. Pachón-García (2021)
- Interpolation MDS, also proposed by Delicado P. and C. Pachón-García (2021)
<arXiv:2007.11919>, which uses Gower's interpolation formula as described in
- Fast MDS, which is an implementation of the algorithm proposed by
Yang, T., J. Liu, L. McMillan, and W. Wang (2006).
The main idea of these algorithms is based on partitioning the data set into small
pieces, where classical methods can work. In order to align all the solutions,
Procrustes formula is used as described in Borg, I. and P. Groenen (2005).
Packaged: 2021-10-05 08:58:07 UTC; cristianpachon