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 |