tidy_mds_smacof: SMACOF MDS (Metric or Non-metric)
In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem
View source: R/unsupervised-mds.R
tidy_mds_smacof R Documentation
SMACOF MDS (Metric or Non-metric)
Description
Performs MDS using SMACOF algorithm from the smacof package
Usage
tidy_mds_smacof(dist_mat, ndim = 2, type = "ratio", ...)
Arguments
dist_mat
A distance matrix (dist object)
ndim
Number of dimensions (default: 2)
type
Character; "ratio" for metric, "ordinal" for non-metric (default: "ratio")
...
Additional arguments passed to smacof::mds()
Value
A tidy_mds object
tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.
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View source: R/unsupervised-mds.R
| tidy_mds_smacof | R Documentation |
SMACOF MDS (Metric or Non-metric)
Description
Performs MDS using SMACOF algorithm from the smacof package
Usage
tidy_mds_smacof(dist_mat, ndim = 2, type = "ratio", ...)
Arguments
dist_mat |
A distance matrix (dist object) |
ndim |
Number of dimensions (default: 2) |
type |
Character; "ratio" for metric, "ordinal" for non-metric (default: "ratio") |
... |
Additional arguments passed to smacof::mds() |
Value
A tidy_mds object
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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