Semantic Variable Clustering
Context
Semantic Variable Clustering groups nodes based on the semantics of their Node Names.
Usage & Example
For this example, we use a list of 49 positive character traits.
All character traits are represented by nodes in an unconnected Bayesian network.
The nodes are named after character traits; no other information is available, e.g., in the Node Long Names or the Node Comments.
Select all nodes you wish to cluster.
To start the Semantic Variable Clustering, select
Main Menu > Hellixia > Semantic Variable Clustering
.
In the Semantic Variable Clustering window, you can specify the following item:
Your Completion Model, which depends on your OpenAI subscription
The Context that may apply to the nodes to be clustered
The Maximum Number of Clusters allows you to limit how many clusters are generated.
Clicking OK initiates Hellixia's communication with ChatGPT.
Upon completing the task, BayesiaLab presents the Semantic Variable Clustering Report in a new window.
Workflow Illustrations
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