Spatio-Temporal Clustering with the Goal of Knowledge Discovery in Integrated Spatio-Temporal Structured Data

Here, a self-organizing emergent method is to be developed that enables the discovery of knowledge in high-dimensional data, which can contain both content-related variables and the spatio-temporal localizations of its origin. Open problems to be dealt with are the aggregation of the data to meaningful superordinate structures and the aggregation of the spatio-temporal information with the content variables.

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