Clustering Model

A Clustering Model is a classification function that can map a record into a cluster (of similar cases).

• AKA: Cluster Function.
• Context:
  • It can be the Output of a Clustering System (that solves a clustering task).
  • It can range from being a Closed Clustering Model to being an Open Clustering Model, depending on whether new items can be clustered.
• Example(s):
  • a Word Clustering Model.
  • …
• Counter-Example(s):
  • a Point Estimation Model.
• See: Analytic Model.

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References

1999

• (Zaiane, 1999) ⇒ Osmar Zaiane. (1999). “Glossary of Data Mining Terms." University of Alberta, Computing Science CMPUT-690: Principles of Knowledge Discovery in Databases.
  • QUOTE: Analytical Model:A structure and process for analyzing a dataset. For example, a decision tree is a model for the classification

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