Economics at your fingertips  

Spectral methods for growth curve clustering

Snježana Majstorović (), Kristian Sabo (), Johannes Jung () and Matija Klarić ()
Additional contact information
Snježana Majstorović: J.J. Strossmayer University of Osijek
Kristian Sabo: J.J. Strossmayer University of Osijek
Johannes Jung: Technical University of Berlin
Matija Klarić: J.J. Strossmayer University of Osijek

Central European Journal of Operations Research, 2018, vol. 26, issue 3, 715-737

Abstract: Abstract The growth curve clustering problem is analyzed and its connection with the spectral relaxation method is described. For a given set of growth curves and similarity function, a similarity matrix is defined, from which the corresponding similarity graph is constructed. It is shown that a nearly optimal growth curve partition can be obtained from the eigendecomposition of a specific matrix associated with a similarity graph. The results are illustrated and analyzed on the set of synthetically generated growth curves. One real-world problem is also given.

Keywords: Curve clustering; Similarity graph; Laplacian matrix; Modularity matrix; Spectral methods (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link) Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/10100

Access Statistics for this article

Central European Journal of Operations Research is currently edited by Ulrike Leopold-Wildburger

More articles in Central European Journal of Operations Research from Springer, Slovak Society for Operations Research, Hungarian Operational Research Society, Czech Society for Operations Research, Österr. Gesellschaft für Operations Research (ÖGOR), Slovenian Society Informatika - Section for Operational Research, Croatian Operational Research Society
Bibliographic data for series maintained by Sonal Shukla ().

Page updated 2019-05-21
Handle: RePEc:spr:cejnor:v:26:y:2018:i:3:d:10.1007_s10100-017-0515-6