Entradas por etiqueta "principal-component-analysis"

Using Principal Component Analysis (PCA) for data Explorer. Step by Step

In this contribution we show, through some toy examples, how to use Matrix Factorization techniques to analyze multivariate data sets in order to obtain some conclusions from them that may help us to take decisions. In particular, we explain how to employ the technique of Principal Component Analysis (PCA) to reduce the dimensionality of the space of variables.

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