I believe the default options in SPSS are to do a hierarchical, divisive clustering. If so, then the "dendrite" diagram that SPSS produces is the standard way of representing the results.

Minitab has facility for cluster analysis and the drawing of the corresponding denodogram.

R software provides several packages that cover a significant variety of methods and tools in cluster analysis: “clustertend” to assess the cluster tendency in data, “fpc” for flexible clustering methods and cluster validation, “TSclust” for clustering time series (Montero & Vilar, 2014), “kml” and “kml3d” for longitudinal data clustering (Genolini et.al, 2015) or “clValid” for statistical and biological validation of clustering results (Brock et.al 2008), to name only a few. You can also opt for fuzzy clustering that can be implemented using the "fclust" package routines.