Monothetic Divisive Clustering with Geographical Constraints

Marie Chavent (), Yves Lechevallier (), Françoise Vernier () and Kevin Petit
Additional contact information
Marie Chavent: Université Bordeaux 2, Institut de Mathématiques de Bordeaux
Yves Lechevallier: INRIA, Paris-Rocquencourt
Françoise Vernier: CEMAGREF-Bordeaux, Unité de recherche ADER 50
Kevin Petit: CEMAGREF-Bordeaux, Unité de recherche ADER 50

A chapter in COMPSTAT 2008, 2008, pp 67-76 from Springer

Abstract: Abstract DIVCLUS-T is a descendant hierarchical clustering algorithm based on a monothetic bipartitional approach allowing the dendrogram of the hierarchy to be read as a decision tree. We propose in this paper a new version of this method called C-DIVCLUS-T which is able to take contiguity constraints into account. We apply C-DIVCLUS-T to hydrological areas described by agricultural and environmental variables, in order to take their geographical contiguity into account in the monothetic clustering process.

Keywords: divisive clustering; monothetic cluster; contiguity constraints (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2084-3_6

Ordering information: This item can be ordered from
http://www.springer.com/9783790820843

DOI: 10.1007/978-3-7908-2084-3_6

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().