| 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 |