Étude des matrices de proximité rectangulaires en vue de la classification
Revue de Statistique Appliquée (1986)
- Volume: 34, Issue: 4, page 43-68
- ISSN: 0035-175X
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topBrossier, Gildas. "Étude des matrices de proximité rectangulaires en vue de la classification." Revue de Statistique Appliquée 34.4 (1986): 43-68. <http://eudml.org/doc/106207>.
@article{Brossier1986,
author = {Brossier, Gildas},
journal = {Revue de Statistique Appliquée},
keywords = {representation; classification; rectangular proximity data; hierarchic or additive similarity tree; metric properties; rectangular dissimilarity tables},
language = {fre},
number = {4},
pages = {43-68},
publisher = {Société de Statistique de France},
title = {Étude des matrices de proximité rectangulaires en vue de la classification},
url = {http://eudml.org/doc/106207},
volume = {34},
year = {1986},
}
TY - JOUR
AU - Brossier, Gildas
TI - Étude des matrices de proximité rectangulaires en vue de la classification
JO - Revue de Statistique Appliquée
PY - 1986
PB - Société de Statistique de France
VL - 34
IS - 4
SP - 43
EP - 68
LA - fre
KW - representation; classification; rectangular proximity data; hierarchic or additive similarity tree; metric properties; rectangular dissimilarity tables
UR - http://eudml.org/doc/106207
ER -
References
top- [1] Gildas Brossier - Approximation optimale d'une matrice de distance par un arbre additif, Math. et Sc. Humaines, n° 91, pp. 5- 21, 1985. Zbl0607.62075MR866226
- [2] C.H. Coombs. - A theory of data, New-York, Wiley, 1964.
- [3] G.W. Furnas. - Objectifs and their features : the metric representation of two class data. Unpublished Ph. D., Standford University, 1980.
- [4] G. De Soete, W. De Sarbo, G.W. Furnas, J.D. Caroll. - The estimation of ultrametric and path lenglh trees from rectangular proximity data. Psychométrika, Vol. 49, n° 3, pp. 289, 310, 1984.
- [5] G. Govaert. - Classification croisée. Thèse d'Etat, université Paris 6, 1983.
- [6] S. Sattah, A. Tversky - Additive similarity trees. Psychometrika, Vol. 42, n° 3, 1977.
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