ML Anthology

Conceptual Clustering and Exploratory Data Analysis

Gautam Biswas, Jerry B. Weinberg, Qian Yang, Glenn R. Koller
ICML 1991 pp. 591-595
doi:10.1016/B978-1-55860-200-7.50120-3 /icml/1991/biswas1991icml-conceptual/

Abstract

This paper discusses a new conceptual clustering algorithm called ITERATE that introduces an iterative redistribution operator along with a hierarchical clustering scheme (modified COBWEB) to produce an effective scheme for exploratory data analysis. Iterative redistribution allows global reassignment of objects in a partition, and, therefore, has a better chance to maximize the category utility measure by skipping over local maxima.

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Cite

Text

Biswas et al. "Conceptual Clustering and Exploratory Data Analysis." International Conference on Machine Learning, 1991. doi:10.1016/B978-1-55860-200-7.50120-3

Markdown

[Biswas et al. "Conceptual Clustering and Exploratory Data Analysis." International Conference on Machine Learning, 1991.](https://mlanthology.org/icml/1991/biswas1991icml-conceptual/) doi:10.1016/B978-1-55860-200-7.50120-3

BibTeX

@inproceedings{biswas1991icml-conceptual,
  title     = {{Conceptual Clustering and Exploratory Data Analysis}},
  author    = {Biswas, Gautam and Weinberg, Jerry B. and Yang, Qian and Koller, Glenn R.},
  booktitle = {International Conference on Machine Learning},
  year      = {1991},
  pages     = {591-595},
  doi       = {10.1016/B978-1-55860-200-7.50120-3},
  url       = {https://mlanthology.org/icml/1991/biswas1991icml-conceptual/}
}