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As an alternative way, we adopt a hierarchical algorithm.
A hierarchical algorithm used for adaptation consists of four levels.
A fuzzy clustering intrusion model based on genetic algorithm and hierarchical algorithm was proposed [12].
In our work, we use the standard agglomerative hierarchical algorithm [18].
Proposing a hierarchical algorithm that allows convergence towards the Stackelberg equilibrium.
Using the observed profits, a hierarchical algorithm for finding the Nash-Cournot equilibrium is developed.
The hierarchical algorithm can then be seen as a graph-partitioning algorithm.
In the 'Learning for optimal decision' section, the proposed hierarchical algorithm is investigated for both the leader and the followers.
What we will describe in the following turns our watershed algorithm into a hierarchical algorithm in the Beucher (1994) sense.
Similar schemes can be found in [17], where a hierarchical algorithm is proposed for wireless mesh networks.
A hierarchical algorithm can be viewed as a mapping of the data proximity matrix into a cophenetic matrix.
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