Titlebook: Between Data Science and Applied Data Analysis; Proceedings of the 2 Martin Schader,Wolfgang Gaul,Maurizio Vichi Conference proceedings 200

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https://doi.org/10.1007/978-3-030-38822-5ed by (.) that extending biplot methodology to discriminant analysis is not only extremely useful for visual displays to accompany discriminant analysis but how the process of classification can be performed using biplot methodology. In particular, a method developed for the inclusion of categorical

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Alexander V. Lagerev,Igor A. Lagerevn a landmark description which takes into account the . of each function and suggest also a graph-like representation which can help in the classification process. The method is illustrated using a real data set based on precipitation records.

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Alexander V. Lagerev,Igor A. Lagerevced techniques in numerical linear algebra can be used to design efficient algorithms for clustering and exploring these datasets. We illustrate this point with the method of Principal Direction Divisive Partitioning, a scalable unsupervised clustering algorithm which has been found to give high qua

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