Abstract
We propose the additive fuzzy clustering model which relaxes the condition of an object belonging to the clusters in the additive clustering (ADCLUS) model. We consider an additive clustering model for longitudinal asymmetric three-way data. In this case, weights are introduced each time to show the salience of each cluster and the time dependencies.
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