Thumbnail - Request a copy

A New Agglomerative 2-3 Hierarchical Clustering Algorithm

Trousse, Brigitte; Bertrand, Patrice; Chelcea, Sergio (2005), A New Agglomerative 2-3 Hierarchical Clustering Algorithm, in Baier D., Wernecke, K.-D., Innovations in Classification, Data Science, and Information Systems, Springer : Berlin Heidelberg, p. 3-10

Type
Chapitre d'ouvrage
Date
2005
Book title
Innovations in Classification, Data Science, and Information Systems
Book author
Baier D., Wernecke, K.-D.
Publisher
Springer
Published in
Berlin Heidelberg
ISBN
978-3-540-23221-6
Pages
3-10
Metadata
Show full item record
Author(s)
Trousse, Brigitte

Bertrand, Patrice
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Chelcea, Sergio
Abstract (EN)
We studied a new general clustering procedure, that we call here Agglomerative 2-3 Hierarchical Clustering (2-3 AHC), which was proposed in Bertrand (2002a, 2002b). The three main contribution of this paper are: first, the theoretical study has led to reduce the complexity of the algorithm from O(n^3) to O(n^2 log n). Secondly, we proposed a new 2-3 AHC algorithm that simplifies the one proposed in 2002 (its principle is closer to the principle of the classical AHC). Finally, we proposed a first implementation of a 2-3 AHC algorithm.
Subjects / Keywords
Cluster Analysis