D Eszergár-Kiss, B Caesar - Transportation Research Procedia, 2017 - Elsevier
… usergroups are applied to classify passengers, where usergroups are called clusters and answers of users are … were run to identify the optimal solution. The clustering algorithm was …
… group all UNs into 𝐾 different clusters using k-means based machine-learning algorithm which involves finding 𝐾 optimal … The basic idea behind this dynamic sub-clustering is to group …
K Xiong, C Chen, G Qu, P Fan… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
… studied the optimal resource allocation for the WPCN with group cooperation. We introduced energy cooperation and time sharing between the two groups, so that both groups could …
H Li, Y Yang - International Journal of Electronic Commerce, 2020 - Taylor & Francis
… Hereafter, in this paper we use the term keywords grouping to refer to the decision that … the optimal solution for keywords grouping decisions. Our optimal keywords grouping approach …
R Muharar, R Zakhour, J Evans - IEEE transactions on …, 2013 - ieeexplore.ieee.org
… The optimal mode can then be determined by comparing the maximum sum … users in a group. We provide a necessary condition for the optimalgroup-loading allocation for each group. …
… Herein, we consider 10 edge nodes, each with 300 users that we group into 10 groups (each group with the same classes’ distribution). The dataset is distributed such that each edge …
… to the group size. Our analysis reveals that more coarsegrained grouping is important when … We also demonstrate that optimalgrouping can yield significant performance improvements …
J Rubin - Journal of Theoretical Biology, 1967 - Elsevier
… groups with every object in a group) is … group, we can examine, for the optimum partition, the decrease in the splitting function caused by transposing each object into every other group. …
JH Ward Jr - Journal of the American statistical association, 1963 - Taylor & Francis
… A procedure for forming hierarchical groups of mutually exclusive subsets, each of … use in large-scale (n> 100) studies when a precise optimal solution for a specified number of groups …