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The problem of finding and identifying outliers in multivariate measurement data is as old as the data analysis itself. The question: "what is an outlier" has many answers, is is especially difficult when considering high-dimensional data. In the paper a search for outliers in two real data sets is shown. It is stressed that identifying outliers should not be done on the basis of asymptotical...
By intrinsic dimensionality of a data set we mean the smallest number of base vectors which permit to reconstruct the considered set. Nowadays we obtain very huge data sets, which are computationally demanding. Therefore we look for some representative data vectors (prototypes) which might yield an insight into the data and be used for a (preliminary) data analysis. Let D of size n times d denote...
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