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This coefficient has also been proposed for use as a test for nested clusters [12].
The transmitted signal can be regarded as a code-word from nested clusters.
The model allows for several levels of nested clusters, and we will use two levels: individuals (the first level) will be nested inside countries (the second level).
Cluster Head (CH), based on the coordinates of cluster members and Next Crossroad Conditions (NCC), builds nested clusters as the Sub Cluster (SC).
As shown in Fig. 1, SGD-LMSVC can perfectly detect three clusters without any prior information while both C-Means and Fuzzy C-Means with the number of clusters being set to 3 beforehand fail to discover the nested clusters.
Furthermore, using NeCl, we presented our proposed approach to reduce MCC data loss at crossroads, especially the equipped traffic-light crossroads using nested clusters, their adequate CHs and the crossroad conditions based on NeCl.
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Liu et al [ 19] proposed a multi-level two-part random effects logit-lognormal model; two nested random effects were included in each part to model the nested clustering structure in a data, assuming the respective random effects in the two parts followed a bivariate normal distribution.
Hierarchical clustering algorithms produce a hierarchy of nested clustering.
Then, based on some mathematical and physical methods and criteria, we demonstrate that nested clustering can reduce data loss in real streets and at equipped traffic-light crossroads, noticeably.
Similarity coefficients were used to construct the UPGMA (unweighted pair group method with arithmetic average) dendrograms [41] using the SHAN (sequential, hierarchical, agglomerative, and nested cluster methods) clustering and a tree was displayed through the tree plot routine in the software.
A nested cluster is initiated when a TE inserts (primary insertion event) into the base element (element in which the primary insertion occurs).
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