Concepts in Conceptual Clustering
Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Knowledge Acquisition. 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.
@inproceedings{ijcai1987p42,
title = {Concepts in Conceptual Clustering},
author = {Stepp, Robert E.},
booktitle = {Proceedings of the Tenth International Joint Conference on
Artificial Intelligence, {IJCAI-87}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John McDermott},
pages = {211--212},
year = {1987},
note = {Knowledge Acquisition},
url = {https://ijcai.org/proceedings/1987/42},
}
TY - CPAPER TI - Concepts in Conceptual Clustering AU - Stepp, Robert E. T2 - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87 PB - International Joint Conferences on Artificial Intelligence PY - 1987 SP - 211 EP - 212 UR - https://ijcai.org/proceedings/1987/42 ER -Copied
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