Titlebook: Data Analytics; Models and Algorithm Thomas A. Runkler Textbook 20162nd edition Springer Fachmedien Wiesbaden 2016 data mining.knowledge di

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Changiz Valmohammadi,Farkhondeh Mortaz Hejri. To visualize high-dimensional data, projection methods are necessary. We present linear projection (principal component analysis, Karhunen-Loève transform, singular value decomposition, eigenvector projection, Hotelling transform, proper orthogonal decomposition, multidimensional scaling) and nonl

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Conceptualizing the Circular Economyy or a Moore machine. This leads to recurrent or auto-regressive models. Building forecasting models is essentially a regression task. The training data sets for forecasting models are generated by finite unfolding in time. Popular linear forecasting models are auto-regressive models (AR) and genera

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