An Information-Theoretic Definition of Similarity (1998)
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Dekang Lin
| Venue: | In Proceedings of the 15th International Conference on Machine Learning |
| Citations: | 518 - 0 self |
BibTeX
@INPROCEEDINGS{Lin98aninformation-theoretic,
author = {Dekang Lin},
title = {An Information-Theoretic Definition of Similarity},
booktitle = {In Proceedings of the 15th International Conference on Machine Learning},
year = {1998},
pages = {296--304},
publisher = {Morgan Kaufmann}
}
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Abstract
Similarity is an important and widely used concept. Previous definitions of similarity are tied to a particular application or a form of knowledge representation. We present an informationtheoretic definition of similarity that is applicable as long as there is a probabilistic model. We demonstrate how our definition can be used to measure the similarity in a number of different domains.
