Cluster: points that are well-connected with each other (lots of edges)
Number of edges = volume
Volume per node = density
Cut value: separation of clusters
Cut(C) = 1 (number of edges between clusters)

1st criteria: density must be large
2nd criteria: there should not be too many edges between different clusters

Normalised Cut
\text{Ncut(C)}=\frac{\text{Cut(C)}}{\text{Volume(C)}\times \text{Volume(V\C)}}


Good clusters are not too small, internally well-connected and separated from the rest of the nodes