Autumn 2022 | Product peek
Analyse design space data easily with Multivariate Clustering techniques for efficient decision making
by Mauro Munerato, Alessandro Viola | ESTECO
Futurities Year 19 n°3, Autumn 2022
When dealing with enormous amounts of data, analysing them is a challenging task. Clustering techniques come in handy for such data analyses.
Multivariate Analysis (MVA) refers to statistical techniques used to analyse datasets with a lot of variables to consequently identify patterns. It allows you to better understand the design space and the relationships between the variables before formulating the optimization study, making the process more efficient.
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Analyse design space data easily with Multivariate Clustering techniques for efficient decision making
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