---
title: "Concepts in Conceptual Clustering"
authors:
  - "Robert E. Stepp"
doi: ""
url: "https://ijcai.org/proceedings/1987/42"
pdf: "https://ijcai.org/proceedings/1987/0042.pdf"
venue: "Proceedings of the Tenth International Joint Conference on Artificial Intelligence"
year: 1987
pages: "211-212"
track: "Knowledge Acquisition"
keywords:
---

# Concepts in Conceptual Clustering

Robert E. Stepp

*Proceedings of the Tenth International Joint Conference on Artificial Intelligence*, pages 211-212.

## Abstract

Although it has a relatively short history. conceptual clustering is an especially active area of research in machine learning. There are a variety of ways in which conceptual patterns (the AI contribution to clustering) play a role in the clustering process. Two distinct conceptual clustering paradigms (conceptual sorting of exemplars and concept discovery) are described briefly . Then six types of conceptual clustering algorithms are characterized. attempting to cover the present spectrum of mechanisms used to conceptualize the clustering process.