A Context Similarity Measure
Abstract
This paper concentrates upon similarity between objects described by vectors of nominal features. It proposes non-metric measures for evaluating the similarity between: (a) two identical values in a feature, (b) two different values in a feature, (c) two objects. The paper suggests that similarity is dependent upon the context: It is influenced by the given set of objects, and the concept under discussion. The proposed Context-Similarity measure was tested, and the paper presents comparisons with other measures. The comparisons suggest that compared to other measures, the Context-Similarity suites best for natural concepts .
Cite
Text
Biberman. "A Context Similarity Measure." European Conference on Machine Learning, 1994. doi:10.1007/3-540-57868-4_50Markdown
[Biberman. "A Context Similarity Measure." European Conference on Machine Learning, 1994.](https://mlanthology.org/ecmlpkdd/1994/biberman1994ecml-context/) doi:10.1007/3-540-57868-4_50BibTeX
@inproceedings{biberman1994ecml-context,
title = {{A Context Similarity Measure}},
author = {Biberman, Yoram},
booktitle = {European Conference on Machine Learning},
year = {1994},
pages = {49-63},
doi = {10.1007/3-540-57868-4_50},
url = {https://mlanthology.org/ecmlpkdd/1994/biberman1994ecml-context/}
}