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You can install the development version of the kdml package from Github with:

INSTALLATION

library(devtools)

install_github("jrjthompson/R-package-kdml",build_vignettes = TRUE)

library(kdml)

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Version

Install

install.packages('kdml')

Monthly Downloads

272

Version

1.1.1

License

GPL (>= 2)

Maintainer

John R.J. Thompson

Last Published

February 21st, 2025

Functions in kdml (1.1.1)

spectral.clust

Spectral Clustering using Similarity or Distance Matrices
mscv.dkss

Maximum-similarity Cross-validated (MSCV) bandwidth selection method for the distance using kernel summation similarity (DKSS)
kdml

Kernel Metric Learning for Mixed-type Data
dkss

Distance using Kernel Summation Similarity (DKSS) for Mixed-type Data
confactord

Mixed-type Data Generation with True Membership Labels
mscv.dkps

Maximum-similarity Cross-validated (MSCV) bandwidth selection method for the Distance using Kernel Product Similarities (DKPS)
dkps

Distance using Kernel Product Similarity (DKPS) for Mixed-type Data
kss

Kernel Summation Similarity Function (KSS) for Mixed-type Data