Other packages > Find by keyword >

kdml  

Kernel Distance Metric Learning for Mixed-Type Data
View on CRAN: Click here


Download and install kdml package within the R console
Install from CRAN:
install.packages("kdml")

Install from Github:
library("remotes")
install_github("cran/kdml")

Install by package version:
library("remotes")
install_version("kdml", "1.1.1")



Attach the package and use:
library("kdml")
Maintained by
John R. J. Thompson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-08-27
Latest Update: 2025-02-21
Description:
Distance metrics for mixed-type data consisting of continuous, nominal, and ordinal variables. This methodology uses additive and product kernels to calculate similarity functions and metrics, and selects variables relevant to the underlying distance through bandwidth selection via maximum similarity cross-validation. These methods can be used in any distance-based algorithm, such as distance-based clustering. For further details, we refer the reader to Ghashti and Thompson (2024) <<doi:10.48550/arXiv.2306.01890>> for dkps() methodology, and Ghashti (2024) <doi:10.14288/1.0443975> for dkss() methodology.
How to cite:
John R. J. Thompson (2024). kdml: Kernel Distance Metric Learning for Mixed-Type Data. R package version 1.1.1, https://cran.r-project.org/web/packages/kdml. Accessed 08 Mar. 2026.
Previous versions and publish date:
1.0.0 (2024-08-27 13:30), 1.1.0 (2024-09-21 04:30)
Other packages that cited kdml R package
View kdml citation profile
Other R packages that kdml depends, imports, suggests or enhances
Complete documentation for kdml
Functions, R codes and Examples using the kdml R package
Full kdml package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
generator  
Generate Data Containing Fake Personally Identifiable Information
Allows users to quickly and easily generate fake data containing Personally Identifiable Informatio ...
Download / Learn more Package Citations See dependency  
vars  
VAR Modelling
Estimation, lag selection, diagnostic testing, forecasting, causality analysis, forecast error varia ...
Download / Learn more Package Citations See dependency  
candisc  
Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
Functions for computing and visualizing generalized canonical discriminant analyses and canonical c ...
Download / Learn more Package Citations See dependency  
ptycho  
Bayesian Variable Selection with Hierarchical Priors
Bayesian variable selection for linear regression models using hierarchical priors. There is a pr ...
Download / Learn more Package Citations See dependency  

26,270

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA