Data Science Through R Unsupervised Learning
E. Zúñiga
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Data Science Through R Unsupervised Learning

Dimension Reduction Techniques

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The researcher will have to consider whether he assigns equal importance to all his variables, that is, whether no variable stands out as the main dependent variable in the research objective. If this is the case, because he is simply handling a set of diverse aspects observed and collected in his sample, he can turn to what could be called descriptive techniques or interdependence analysis techniques (unsupervised learning techniques in the language of Machine Learning) for their treatment as a whole. And he can do so with two different orientations: on the one hand, to reduce the size of an ...