Boyd considers biological species to be paradigmatic natural kind clusters (1999), where the clustering is due to a homeostatic mechanism.
Thus, we use ensemble clustering framework to integrate the various kinds of clusters (here we call them base clustering results) and output more comprehensive results.
The two kinds of cluster heads play different roles in the network.
The tasks such as data collection, fusion, transition, and so forth, are allocated, respectively, to these two kinds of cluster head.
These genes in another condition can be labeled with either different or the same kinds of cluster indexes.
If genes in g(K s, j ) have same kinds of cluster index, then set CS = CS ∪ { c j } iii.
As we expected, LUAD and LUSC were clustered together in all kinds of clustering, illustrating their close relationship.
In this article we present a new kind of cluster selection method for hierarchical clusterings, introduced on the example of the CCC method by Palla et al. [ 11].
Additionally, an effective pinned-cluster selection scheme is proposed to guide what kinds of clusters should be preferentially considered to be pinned.
The abundance distributions for several kinds of clusters show that there are certain sizes of clusters with exceptional stability, analogous to the exceptional stability of the atoms of the inert gases helium, neon, argon, krypton, and xenon and of the so-called magic number nuclei i.e., the sequence of unusually stable atomic nuclei beginning with the α-particle, or helium nucleus.
