caa a22 4500 465750273 CHVBK 20180323111832.0 cr unu---uuuuu 170327e19900901xx s 000 0 eng 10.1007/BF01908716 doi (NATIONALLICENCE)springer-10.1007/BF01908716 Brossier Gildas Université de Haute-Bretagne Rennes 2, 35043, Rennes cedex, France aut Piecewise hierarchical clustering [Elektronische Daten] [Gildas Brossier] We consider two or more ultrametric distance matrices defined over different, possibly overlapping, subsets. These matrices are merged into one ultrametric matrix defined over the whole set. Necessary and sufficient conditions for uniqueness of the merging are established. when these conditions are not satisfied, consistent algorithms are given. Springer-Verlag New York Inc., 1990 Hierarchical clustering nationallicence Supertrees nationallicence Consensus trees nationallicence Subdomain classification nationallicence Journal of Classification Springer-Verlag 7/2(1990-09-01), 197-216 0176-4268 7:2<197 1990 7 357 https://doi.org/10.1007/BF01908716 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF01908716 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Brossier Gildas Université de Haute-Bretagne Rennes 2, 35043, Rennes cedex, France aut NATIONALLICENCE 773 0- Journal of Classification Springer-Verlag 7/2(1990-09-01), 197-216 0176-4268 7:2<197 1990 7 357 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer