dist.dbscan: Distance that incorporates weights from a dbscan clustering
In tkonopka/MultiPattern: Multi-Pattern Discovery Framework

Distance that incorporates weights from a dbscan clustering

1	dist.dbscan(x, eps = 1, clust.weight = 0.8)

`x`	numeric matrix
`eps`	numeric, passed to dbscane eps
`clust.weight`	numeric, determines weighting of cluster distances relative to neighbor rank distance. Set to 0 to obtain pure neighbor rank distance (clustering is ignored). Set to Inf to obtain pure cluster-based distance. Default is 0.5 to nudge neighbor rank distance in the direction of the cluster distance.