Minimum spanning tree plot#

Plots a minimum spanning tree of a statistic.

The default behavior will produce a tree where each vertex is a circle and the color of the circle is related to the intensity of the value of Feature. (In this scenario, Variable must be left empty.)

Setting Style to Pie plot will draw a pie plot at each vertex. The values of Variable are used as the categories of the pie, and the arc length of each slice of pie is related to the intensity of the value of Feature.

Setting Style to Petal plot will draw a “petal plot” at each vertex. The values of Variable are used as the categories, but unlike a pie plot, the arc width of each slice is equal. Instead, the radius of the pie slice scales with the square root of the intensity, so that the relationship between area and intensity remains the same.

Optionally, you can set Scale by events to scale the total size of each circle, pie or petal plot by the number of events that match the category.

Statistic: Which statistic to plot. This is usually the name of the operation that added the statistic.

Style: Which style view to plot?

Feature: Which column in the statistic should be plotted?

Variable: The statistic variable to classify segments in pie or petal plots.

Locations: A second statistic whose features (columns) are the locations of the vertices. Usually produced by a clustering module such as as KMeans or SOM.

Locations Level: If there are multiple index levels in the Locations statistic, which one is different at each location? Optional if there is only one level in Locations.

Locations Features: Which features in Locations should be used as vertex positions? (By default, use all of them.)

Scale: How to scale the color, arc length or radii of the plots.

Subset: Plot only a subset of the statistic.

Scale by Events: If set, scale each circle/pie/petal by the number of matching events.