ML Anthology

The Learning Curve Method Applied to Clustering

Christopher Meek, Bo Thiesson, David Heckerman
AISTATS 2001 pp. 196-202
/aistats/2001/meek2001aistats-learning/

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.

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Text

Meek et al. "The Learning Curve Method Applied to Clustering." Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001.

Markdown

[Meek et al. "The Learning Curve Method Applied to Clustering." Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001.](https://mlanthology.org/aistats/2001/meek2001aistats-learning/)

BibTeX

@inproceedings{meek2001aistats-learning,
  title     = {{The Learning Curve Method Applied to Clustering}},
  author    = {Meek, Christopher and Thiesson, Bo and Heckerman, David},
  booktitle = {Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics},
  year      = {2001},
  pages     = {196-202},
  volume    = {R3},
  url       = {https://mlanthology.org/aistats/2001/meek2001aistats-learning/}
}