Domain approximation for condition monitoring
نویسندگان
چکیده
We propose a novel algorithm for extracting samples from a data set supporting the extremal points in the set. Since the density of the data set is not taken into account, the method could enable adaptation to gradually changing data characteristics (e.g. machine wear). Using knowledge about the clustering structure of the data (obtained with multidimensional scaling techniques), the complexity of the solution can roughly be determined .
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