Description
Algorithms of distance-based k-medoids clustering:
simple and fast k-medoids (Park and Jun, 2009) ,
ranked k-medoids (Zadegan et al., 2013) , and
step k-medoids (Yu et al., 2018) .
Calculate distances for mixed variable data such as
Gower (1971) ,
Wishart (2003) ,
Podani (1999) ,
Huang (1997) ,
Harikumar and PV (2015) , and
Ahmad and Dey (2007) .
Cluster validation applies bootstrap procedure producing a heatmap with a flexible
reordering matrix algorithm such as complete, ward, or average linkages.