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The Learning Curve Method Applied to Clustering
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:196-202, 2001.
Abstract
We describe novel fast learning curve methods—methods for scaling inductive methods to large data sets—and their application to clustering. We describe the decision theoretic underpinnings of the approach and demonstrate significant performance gains on two real-world data sets.