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However, having cluster members make clustering decision every CI will increase the probability of re-clustering.
The training process can be supervised or unsupervised learning, reinforcement learning, clustering, decision trees or different methods of "deep learning".
The authors proposed that a clustering decision is made periodically every clustering interval (CI) period, and a clustering maintenance is performed in between CI.
Clustering techniques can also be divided into user-centric or network-centric depending on where the clustering decision is taking into account the UT determined channel conditions.
The first term of (6) represents the clustering decision made by similarity scores, and the second term reflects the preference of the K-Means algorithm.
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Normally, fleet design and customer clustering decisions are made by mid-level logistics managers while network design decision is made independently by high-level logistics managers.
On the other hand, tactical fleet design and customer clustering decisions are modeled based on a Hub and Spoke cost structure.
We propose a collaborative e-Work based optimization approach for assisting the strategic logistic network design problem, which considers fleet design and customer clustering decisions.
Rand index is defined as follows begin{aligned} mathrm{Rand}triangleq frac{mathrm{TP}+mathrm{TN}}{mathrm{TP}+mathrm{FP}+mathrm{TN}+mathrm{FN}} end{aligned}This can be interpreted as the fraction of clustering decisions that are correct.
The clustering decisions made by EMAN must also be taken into account by the new method.
This method is an advance on previous methods, as it does not require arbitrary clustering decisions [ 32], but uses K-means clustering algorithm and model selection approach to compute associated summary statistics.
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