A joint clustering and prediction method for QoS distributions in vehicular cellular networks reduces mean absolute error by 9-27% compared to local or global baselines by adapting clusters to network changes.
NP-ha rdness of Euclidean sum-of-squares clustering
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Joint Clustering and Prediction of the Quality of Service in Vehicular Cellular Networks
A joint clustering and prediction method for QoS distributions in vehicular cellular networks reduces mean absolute error by 9-27% compared to local or global baselines by adapting clusters to network changes.