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The alternative theory of existence of cluster structures in lattices of dynamical systems (oscillators) is proposed.
In this paper, we present a method for determining overlapping cluster structures in a networked environment.
By finding "peaks" and "valleys" in the curve, we can visually capture the cluster structures in the connectivity matrix.
Thus, this method turns out to be a good alternative for finding overlapping cluster structures in real-world data.
However, one should notice that in the network inference problem, even the edges among nodes are not observed, not to mention the cluster structures in the network.
In the following section, we introduce SubVIS, an interactive tool which allows the user to visually analyze, explore, and interactively refine computed subspaces to gain knowledge about cluster structures in different subspaces.
Similar(46)
The Markov cluster algorithm (MCL) [34] finds the cluster structure in the form of graphs using the mathematical bootstrapping procedure.
Discovering cluster structure in multi-view data has become a hot research topic and significant progress has been made in multi-view clustering.
The node importance evaluation method based on the cluster contraction principle is using certain rules to find the cluster structure in the network.
Meanwhile, a VANET exhibits a dynamic evolution that presents a dynamic cluster structure, in which each vehicle updates its follow information and dynamically changes its state.
The results of Messier's study showed that random ballistic aggregation of atoms leads to cluster structure in 1 3 nm scale.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com