کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
421380 684211 2008 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Systems of sets such that each set properly intersects at most one other set—Application to cluster analysis
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
Systems of sets such that each set properly intersects at most one other set—Application to cluster analysis
چکیده انگلیسی

A set X is said to properly intersect a set Y   if none of the sets X∩YX∩Y, X⧹YX⧹Y and Y⧹XY⧹X is empty. In this paper, we consider collections of subsets such that each member of the collection properly intersects at most one other member. Such collections are hereafter called paired hierarchical collections. The two following combinatorial properties are investigated. First, any paired hierarchical collection is a set of intervals of at least one linear order defined on the ground set. Next, the maximum size of a paired hierarchical collection defined on an n  -element set is ⌊52(n-1)⌋. The properties of these collections are also investigated from the cluster analysis point of view. In the framework of the general bijection defined by Batbedat [Les isomorphismes HTS et HTE (après la bijection de Benzécri–Johnson), Metron 46 (1988) 47–59] and Bertrand [Set systems and dissimilarities, European J. Combin. 21 (2000) 727–743], we characterize the dissimilarities that are induced by weakly indexed paired hierarchical collections. Finally, we propose a proof of the so-called agglomerative paired hierarchical clustering   (APHC) algorithm that extends the well-known AHC algorithm in order to allow that some clusters can be merged twice. An implementation and some illustrations of this algorithm and of a variant of it were presented by Chelcea et al. [A new agglomerative 2–3 hierarchical clustering algorithm, in: D. Baier, K.-D. Wernecke (Eds.), Innovations in Classification, Data Science, and Information Systems (GfKL 2003), Springer, Berlin, 2004, pp. 3–10 and Un Nouvel Algorithme de Classification Ascendante 2–3 Hiérarchique, in: Reconnaissance des Formes et Intelligence Artificielle (RFIA 2004), vol. 3, Toulouse, France, 2004, pp. 1471–1480. Available at 〈〈http://www.laas.fr/rfia2004/actes/ARTICLES/388.pdf〉〉].

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Discrete Applied Mathematics - Volume 156, Issue 8, 15 April 2008, Pages 1220–1236
نویسندگان
,