Clustering All Three Modes of Three-Mode Data: Computational Possibilities and Problems

Henk A. L. Kiers ()
Additional contact information
Henk A. L. Kiers: University of Groningen, Heymans Institute

A chapter in COMPSTAT 2004 — Proceedings in Computational Statistics, 2004, pp 303-313 from Springer

Abstract: Abstract For the analysis of three-mode data sets (i.e., data sets pertaining to three different sets of entities) various component analysis techniques are available. These yield components that are summaries of the entities of each mode. Because such components are often interpreted in a more or less binary way in terms of the entities related strongest to them, it seems logical to actually constrain these components to have binary values only.In the present paper, such constrained models are proposed and algorithms for fitting these models are provided. In one of these variants, the components are constrained such that they correspond to nonoverlapping clusters of entities. Finally, a procedure is proposed for steering component values towards binary values, without actually imposing them to be binary, using penalties.

Keywords: Cluster analysis; multiway analysis (search for similar items in EconPapers)
Date: 2004
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:978-3-7908-2656-2_24

Ordering information: This item can be ordered from
http://www.springer.com/9783790826562

DOI: 10.1007/978-3-7908-2656-2_24

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 ().