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Clustering by Compression
R. Cilibrasi, P.M.B. Vitanyi, 2005. IEEE Transactions on Information Theory.
Introduces the normalized compression distance, a similarity measure computed from the sizes of compressed files, and uses it for hierarchical clustering in many fields.
What it's used for here
The bioinformatics and inductive-methods surveys list compression-distance clustering among tests of the text's structure.
Cited by on this site 2 records
2 methods surveys
SRCSignal processing, inductive methods
Cite it
Cilibrasi, R., & Vitanyi, P. (2005). Clustering by Compression. IEEE Transactions on Information Theory. https://doi.org/10.1109/tit.2005.844059
@article{cilibrasi2005clustering,
author = {Cilibrasi, R. and Vitanyi, P.M.B.},
title = {Clustering by Compression},
journal = {IEEE Transactions on Information Theory},
year = {2005},
doi = {10.1109/tit.2005.844059},
url = {https://doi.org/10.1109/tit.2005.844059}
}TY - JOUR TI - Clustering by Compression AU - Cilibrasi, R. AU - Vitanyi, P.M.B. PY - 2005 JO - IEEE Transactions on Information Theory DO - 10.1109/tit.2005.844059 UR - https://doi.org/10.1109/tit.2005.844059 ER -
Cilibrasi, R. and P.M.B. Vitanyi. “Clustering by Compression.” IEEE Transactions on Information Theory (2005). https://doi.org/10.1109/tit.2005.844059.