lmds
Landmark Multi-Dimensional Scaling
A fast dimensionality reduction method scaleable to large numbers of samples. Landmark Multi-Dimensional Scaling (LMDS) is an extension of classical Torgerson MDS, but rather than calculating a complete distance matrix between all pairs of samples, only the distances between a set of landmarks and the samples are calculated.
- Version0.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release09/27/2019
Documentation
Team
Robrecht Cannoodt
MaintainerShow author detailsWouter Saelens
Insights
Last 30 days
This package has been downloaded 370 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 19 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 4,557 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Nov 27, 2024 with 35 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Binaries
Dependencies
- Imports4 packages
- Suggests1 package
- Reverse Imports3 packages