RadViz plot

RadViz plot enables the visualization of multidimensional data while maintaining the relation to the original dimensions. It is a useful visualization to discover structure in data.
It is based on a simple spring tension minimization algorithm. Basically one sets up a bunch of points in a plane. In our case they are equally spaced on a unit circle. Each point represents a single attribute. One then pretends that each sample in the data set is attached to each of these points by a spring, the stiffness of which is proportional to the numerical value of that attribute (they are normalized to unit interval). The point in the plane, where our sample settles to (where the forces acting on our sample are at an equilibrium) is where a dot representing our sample will be drawn. The method uses only numeric features.
The implementation use pandas radviz() method.

Options

Select class column of string type

Select a column, or a class column, from the dataset to colour points within the plot. The column should have discrete values.

Select a colour palette from drop-down

May experiment with different color palettes and select appropriate one.

Nodes

• Column Selection Configuration1 ×
• Component Input1 ×
• Component Output1 ×
• Merge Variables1 ×
• Python View1 ×
• Single Selection Configuration1 ×

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Python 2 Integration (legacy)
• FeatureKNIME Quick Forms

Links

• No links available