Additive-tree representations of incomplete dissimilarity data

1984 ◽  
Vol 18 (4) ◽  
pp. 387-393 ◽  
Author(s):  
Geert De Soete
Keyword(s):  
Dissimilarity Data ◽  
Additive Tree ◽  
Tree Representations

Modelling dissimilarity: Generalizing ultrametric and additive tree representations

2001 ◽  
Vol 54 (1) ◽  
pp. 103-123 ◽  
Author(s):  
Lawrence Hubert ◽  
Phipps Arabie ◽  
Jacqueline Meulman
Keyword(s):  
Additive Tree ◽  
Tree Representations

Least squares algorithms for constructing constrained ultrametric and additive tree representations of symmetric proximity data

1987 ◽  
Vol 4 (2) ◽  
pp. 155-173 ◽  
Author(s):  
Geert De Soete ◽  
J. Douglas Carroll ◽  
Wayne S. DeSarbo
Keyword(s):  
Least Squares ◽  
Proximity Data ◽  
Additive Tree ◽  
Tree Representations

Compressed Tree Representations

2016 ◽  
pp. 397-401
Author(s):  
Gonzalo Navarro ◽  
Kunihiko Sadakane
Keyword(s):  
Tree Representations

scholarly journals Isomorphisms between determinantal point processes with translation-invariant kernels and Poisson point processes

2020 ◽  
pp. 1-14
Author(s):  
SHOTA OSADA
Keyword(s):  
Point Processes ◽  
Duke Math ◽  
Random Point ◽  
Determinantal Point Processes ◽  
Fredholm Determinants ◽  
Poisson Point Processes ◽  
Translation Invariant ◽  
Ergodic Properties ◽  
Tree Representations ◽  
Invariant Kernels

Abstract We prove the Bernoulli property for determinantal point processes on $ \mathbb{R}^d $ with translation-invariant kernels. For the determinantal point processes on $ \mathbb{Z}^d $ with translation-invariant kernels, the Bernoulli property was proved by Lyons and Steif [Stationary determinantal processes: phase multiplicity, bernoullicity, and domination. Duke Math. J.120 (2003), 515–575] and Shirai and Takahashi [Random point fields associated with certain Fredholm determinants II: fermion shifts and their ergodic properties. Ann. Probab.31 (2003), 1533–1564]. We prove its continuum version. For this purpose, we also prove the Bernoulli property for the tree representations of the determinantal point processes.

PoClustering: Lossless Clustering of Dissimilarity Data

2007 ◽  
Author(s):  
Jinze Liu ◽  
Qi Zhang ◽  
Wei Wang ◽  
Leonard McMillan ◽  
Jan Prins
Keyword(s):  
Dissimilarity Data

scholarly journals Visual Encoding of Dissimilarity Data via Topology-Preserving Map Deformation

2016 ◽  
Vol 22 (9) ◽  
pp. 2200-2213 ◽  
Author(s):  
Quirijn W. Bouts ◽  
Tim Dwyer ◽  
Jason Dykes ◽  
Bettina Speckmann ◽  
Sarah Goodwin ◽  
...  
Keyword(s):  
Dissimilarity Data ◽  
Visual Encoding
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