Cluster Interpretation: Histograms

Background & Context

On this page, we present the Histograms for cluster interpretation as an alternative to Most Relevant Explanations for Cluster Interpretation.
To provide further context for Most Relevant Explanations for Cluster Interpretation, we compare several other approaches that can help interpret individual Clusters:
- Setting Evidence for Cluster Interpretation: Posterior Distributions, Relationship with Target Node, Mosaic Analysis, Posterior Mean Analysis, Segment Profile Analysis, Histograms, Tornado Diagrams
- Optimization for Cluster Interpretation: Dynamic Profile, Target Optimization Tree
More specifically, we compare all these approaches with regard to characterizing the state Cluster 3 of the Cluster Node $Factor\_0$ in the reference network.
All analyses and instructions on this page refer to this reference network, which you can download here:

To launch Histograms, select Main Menu > Analysis > Visual > Target > Target’s Posterior > Histograms.
A new window opens up with one panel for each manifest node. At the top of the window we can select the Cluster of interest, which is Cluster 3 in our case.

To explain the precise meaning of the panel content, we focus on the one for the node 10 - Knee Girth.

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The probability of an observation, i.e., an individual from the population, to belong to Cluster 3 is:
- 9.23%, if 10 - Knee Girth ≤ 35.8
- 17.32%, if 10 - Knee Girth ≤ 38.7
- 7.27%, if 10 - Knee Girth >38.7
The a priori probability of belonging to Cluster 3 is 12.96%, as indicated by the red line.