Package com.rapidminer.operator.visualization.dependencies

The operators in this package are used for the calculation and the visualization of dependency matrices like those for correlations etc.

See:
          Description

Class Summary
AbstractPairwiseMatrixOperator This operator calculates a dependency matrix between all attributes of the input example set.
ANOVAMatrix Displays the result of an ANOVA matrix calculation.
ANOVAMatrixOperator This operator calculates the significance of difference for the values for all numerical attributes depending on the groups defined by all nominal attributes.
CorrelationMatrixOperator This operator calculates the correlation matrix between all attributes of the input example set.
CovarianceMatrixOperator This operator calculates the covariances between all attributes of the input example set and returns a covariance matrix object which can be visualized.
MutualInformationMatrixOperator This operator calculates the mutual information matrix between all attributes of the input example set.
NumericalMatrix A simple (symmetrical) matrix which can be used for correlation or covariance matrices.
RainflowMatrix The Rainflow Matrix adds another data table view for the residuals of the Rainflow Matrix calculation as well as a new plot tab for the residuals.
RainflowMatrixOperator This operator calculates the rainflow matrix for a series attribute.
TransitionGraph This is the result of the TransitionGraphOperator, i.e. a graph representing connections between items (can be used for network visualizations).
TransitionGraphOperator This operator creates a transition graph from the given example set.
TransitionMatrixOperator This operator calculates the transition matrix of a specified attribute, i.e. the operator counts how often each possible nominal value follows after each other.
 

Package com.rapidminer.operator.visualization.dependencies Description

The operators in this package are used for the calculation and the visualization of dependency matrices like those for correlations etc.



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