Discussion: Clustering Random Curves Under Spatial Dependence
نویسندگان
چکیده
We discuss the advantages and disadvantages of a functional approach to clustering of spatial-temporal data. This leads us to suggest an alternative methodology which allows cluster memberships to vary over both temporal and spacial domains. One advantage of our approach is that it can easily incorporate time-varying covariates. A fitting algorithm is developed and we provide a simple simulation example to illustrate the performance of our method.
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