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Semantic Variable Clustering

Overview

Semantic Variable Clustering groups nodes that mean similar things into clusters, using their names, long names, comments, or embeddings to organize a large network. It returns semantic clusters and classes you can review.

Use it for large-network organization, survey-item grouping, and semantic-class creation.

Inputs

  • Selected nodes
  • Names, long names, comments, or embeddings

Outputs

  • Semantic clusters
  • Classes
  • Reviewable groupings

Workflow

Prepare the network, source material, selected nodes, selected arcs, or Knowledge Files required by the function.
Confirm that Hellixia provider settings and model access are configured.
Open Hellixia > Semantic Variable Clustering.
Review the available options and add General Context when the model needs domain-specific guidance.
Run the function and inspect the generated graph, comments, priors, embeddings, translations, or images.