3713898
doi
10.5281/zenodo.3713898
oai:zenodo.org:3713898
Joshua Millstein
Department of Preventive Medicine, University of Southern California
partition: A fast and flexible framework for data reduction in R
Malcolm Barrett
Department of Preventive Medicine, University of Southern California
url:https://github.com/USCbiostats/partition/tree/joss
info:eu-repo/semantics/openAccess
Other (Open)
<p>partition is a fast and flexible framework for agglomerative partitioning. partition uses an approach called Direct-Measure-Reduce to create new variables that maintain the user-specified minimum level of information. Each reduced variable is also interpretable: the original variables map to one and only one variable in the reduced data set. partition is flexible, as well: how variables are selected to reduce, how information loss is measured, and the way data is reduced can all be customized.</p>
<p>This is not a CRAN submission but a development release upon completion of our JOSS paper</p>
Zenodo
2020-03-17
info:eu-repo/semantics/other
3713897
v0.1.1.9000
1633438060.034723
3747271
md5:3fd9c4e4816e5517988c1d19d291b8ae
https://zenodo.org/records/3713898/files/USCbiostats/partition-joss.zip
public
https://github.com/USCbiostats/partition/tree/joss
Is supplement to
url
10.5281/zenodo.3713897
isVersionOf
doi