TY  - JOUR
AU  - Kraskov, A.
AU  - Stoegbauer, H.
AU  - Andrzejak, R. G.
AU  - Grassberger, P.
TI  - Hierarchical clustering using mutual information
JO  - epl
VL  - 70
SN  - 0295-5075
CY  - Les Ulis
PB  - EDP Sciences
M1  - PreJuSER-49823
SP  - 278 - 284
PY  - 2005
N1  - Record converted from VDB: 12.11.2012
AB  - 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.
KW  - J (WoSType)
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000228627600020
DO  - DOI:10.1209/epl/i2004-10483-y
UR  - https://juser.fz-juelich.de/record/49823
ER  -