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| Hauptseite > Publikationsdatenbank > Hierarchical clustering using mutual information > print |
| 001 | 49823 | ||
| 005 | 20200423204302.0 | ||
| 024 | 7 | _ | |a 10.1209/epl/i2004-10483-y |2 DOI |
| 024 | 7 | _ | |a WOS:000228627600020 |2 WOS |
| 024 | 7 | _ | |a 0295-5075 |2 ISSN |
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| 024 | 7 | _ | |a 2128/22927 |2 Handle |
| 037 | _ | _ | |a PreJuSER-49823 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 530 |
| 084 | _ | _ | |2 WoS |a Physics, Multidisciplinary |
| 100 | 1 | _ | |a Kraskov, A. |b 0 |u FZJ |0 P:(DE-Juel1)VDB46297 |
| 245 | _ | _ | |a Hierarchical clustering using mutual information |
| 260 | _ | _ | |c 2005 |a Les Ulis |b EDP Sciences |
| 300 | _ | _ | |a 278 - 284 |
| 336 | 7 | _ | |a Journal Article |0 PUB:(DE-HGF)16 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a article |2 DRIVER |
| 440 | _ | 0 | |a Europhysics Letters |x 0295-5075 |0 1996 |y 2 |v 70 |
| 500 | _ | _ | |a Record converted from VDB: 12.11.2012 |
| 520 | _ | _ | |a We present a conceptually simple method for hierarchical clustering of data called mutual information clustering ( MIC) algorithm. It uses mutual information (MI) as a similarity measure and exploits its grouping property: The MI between three objects X, Y, and Z is equal to the sum of the MI between X and Y, plus the MI between Z and the combined object (XY). We use this both in the Shannon (probabilistic) version of information theory and in the Kolmogorov ( algorithmic) version. We apply our method to the construction of phylogenetic trees from mitochondrial DNA sequences and to the output of independent components analysis (ICA) as illustrated with the ECG of a pregnant woman. |
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| 588 | _ | _ | |a Dataset connected to Web of Science |
| 650 | _ | 7 | |a J |2 WoSType |
| 700 | 1 | _ | |a Stoegbauer, H. |b 1 |u FZJ |0 P:(DE-Juel1)VDB53716 |
| 700 | 1 | _ | |a Andrzejak, R. G. |b 2 |u FZJ |0 P:(DE-Juel1)VDB48529 |
| 700 | 1 | _ | |a Grassberger, P. |b 3 |u FZJ |0 P:(DE-Juel1)136887 |
| 773 | _ | _ | |a 10.1209/epl/i2004-10483-y |g Vol. 70, p. 278 - 284 |0 PERI:(DE-600)1465366-7 |q 70<278 - 284 |p 278 - 284 |t epl |v 70 |y 2005 |x 0295-5075 |
| 856 | 7 | _ | |u http://dx.doi.org/10.1209/epl/i2004-10483-y |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/49823/files/0311037.pdf |y OpenAccess |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/49823/files/0311037.pdf?subformat=pdfa |x pdfa |y OpenAccess |
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| 913 | 1 | _ | |k I03 |v Betrieb und Weiterentwicklung des Höchstleistungsrechners |l Wissenschaftliches Rechnen |b Information |0 G:(DE-Juel1)FUEK254 |x 0 |
| 914 | 1 | _ | |y 2005 |
| 915 | _ | _ | |a No Peer review |0 StatID:(DE-HGF)0020 |2 StatID |
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| 920 | 1 | _ | |k NIC |l John von Neumann - Institut für Computing |g NIC |0 I:(DE-Juel1)NIC-20090406 |x 0 |
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