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 $\mathit{Cluster\ 3}$ of the Cluster Node $\mathit{Factor}_0$ in the reference network.
• All analyses and instructions on this page refer to this reference network, which you can download here:

Histograms

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

• To explain the precise meaning of the panel content, we focus on the panel for the node $10 - \mathit{Knee\ Girth}$.

• The probability that an observation, i.e., an individual from the population, belongs to $\mathit{Cluster\ 3}$ is:
  • 9.23%, if $10 - \mathit{Knee\ Girth} \le 35.8$
  • 17.32%, if $10 - \mathit{Knee\ Girth} \le 38.7$
  • 7.27%, if $10 - \mathit{Knee\ Girth} \gt 38.7$
• The a priori probability of belonging to $\mathit{Cluster\ 3}$ is 12.96%, as indicated by the red line.