Kernel Distance Metric Learning for Mixed-Type Data


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Documentation for package ‘kdml’ version 1.1.0

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kdml-package Kernel Metric Learning for Mixed-type Data
confactord Mixed-type Data Generation with True Membership Labels
dkps Distance using Kernel Product Similarity (DKPS) for Mixed-type Data
dkss Distance using Kernel Summation Similarity (DKSS) for Mixed-type Data
kdml Kernel Metric Learning for Mixed-type Data
kss Kernel Summation Similarity Function (KSS) for Mixed-type Data
mscv.dkps Maximum-similarity Cross-validated (MSCV) bandwidth selection method for the Distance using Kernel Product Similarities (DKPS)
mscv.dkss Maximum-similarity Cross-validated (MSCV) bandwidth selection method for the distance using kernel summation similarity (DKSS)
spectral.clust Spectral Clustering using Similarity or Distance Matrices