Explore other clustering methods

[mr-eyes]

kSpider supports a single method of clustering, which is graph clustering. Each sample/genome represents a node, and each edge represents a containment percentage between the two connected samples. An edge should only be created if it's above the predefined user threshold. Connected components of the undirected graph are considered to be clusters.

I will list here other clustering methods that might work.