TL;DR
This paper introduces R and C implementations of Elastic MDS, comparing their speed and demonstrating that the C version is significantly faster, enhancing the practicality of multidimensional scaling techniques.
Contribution
The paper provides the first implementations of metric and non-metric Elastic MDS in R and C, with a detailed speed comparison highlighting the efficiency of C.
Findings
C implementation is 15 to 100 times faster than R implementation
Both metric and non-metric Elastic MDS are implemented in R and C
C version significantly improves computational efficiency for Elastic MDS
Abstract
We present R and C implementations for metric (ratio) and non-metric (ordinal) versions of Elastic MDS, the multidimensional scaling technique proposed by McGee (1966). The R and C versions are compared for speed, with the C version anywhere from 15 to 100 times as fast as the R version.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData Analysis with R · Statistical Methods and Applications · Computational Physics and Python Applications