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Multidimensional Data

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May 1, 2024 3 minute read

Representing Multidimensional Data

There are several different ways to represent multidimensional data. One common way is to use a table. In a table, each row represents a different observation, and each column represents a different variable. The values in the cells of the table represent the values of the variables for each observation.

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Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Multidimensional Data.
Applied Multivariate Statistical Analysis provides in-depth coverage of multidimensional data analysis and multivariate statistical analysis. serves as a great reference text.
Handbook of Multidimensional Data Analysis provides a resource for a variety of approaches to modeling and analyzing multidimensional data, from linear techniques to more complex nonlinear techniques.
Multivariate Analysis and its Applications focuses on multivariate data analysis, which subfocus within multidimensional data analysis. It takes an applied approach to showing how multivariate analysis assists in a variety of disciplines. It also provides free access to the software that is used with the text.
Pattern Recognition and Machine Learning covers a wide variety of machine learning techniques as they apply to multidimensional data. It is useful for understanding how multidimensional data can be used for predictive modeling and data mining.
Machine Learning for Multidimensional Data good resource for learning about machine learning in the context of multidimensional data analysis.
Multidimensional Scaling: Its Use in Behavioral Research provides a deeper dive into the specific use of multidimensional scaling in the field of behavioral research.
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