Multivariate data analytics and cognitive analytics
Abstract
Multivariate data analytics and cognitive analytics have become crucial in the era of big data, providing organizations with powerful tools to extract valuable insights from complex datasets. This chapter explores key methodologies such as factor analysis, principal component analysis (PCA), regression analysis, logistic analysis, and multivariate analysis, and their applications in understanding and analyzing multivariate data. Factor analysis is employed to identify latent variables that explain the correlations among observed variables, facilitating dimensionality reduction and a deeper understanding of underlying constructs. PCA transforms correlated variables into uncorrelated ...
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