Knowledge acquisition via incremental conceptual clustering

  • Fisher D
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Abstract

Abstract Conceptual clustering is an important way of summarizing and explaining data. However, the recent formulation of this paradigm has allowed little exploration of conceptual clustering as a means of improving performance. Furthermore, previous work in ...

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APA

Fisher, D. H. (1987). Knowledge acquisition via incremental conceptual clustering. Machine Learning, 2(2), 139–172. https://doi.org/10.1007/bf00114265

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