CViz is a visualization tool designed for analyzing high-dimensional data (data with many elements) in large, complex data sets. CViz easily loads the data sets, displays the most important factors relating clusters of records, and provides full-motion visualization of the inherent data clusters. This tool is very useful for analysts who often use statistical methods. It helps them decide on the best factors to use in multiple regression analysis and other statistical methods, primarily because it is based on linear discriminant analysis and it conforms to rigorous standards in statistical mathematics.

References in zbMATH (referenced in 3 articles , 1 standard article )

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  1. Schmidt, Fabian; Spott, Martin: Visualising temporal item sets: guided drill-down with hierarchical attributes (2013) ioport
  2. Blanchard, Julien; Guillet, Fabrice; Briand, Henri: Interactive visual exploration of association rules with rule-focusing methodology (2007) ioport
  3. Han, Jianchao; An, Aijun; Cercone, Nick: CViz: An interactive visualization system for rule induction (2000)