Kernel k-Means Clustering Applied to Vector Space Embeddings of Graphs

Riesen, K.; Bunke, H. (2008). Kernel k-Means Clustering Applied to Vector Space Embeddings of Graphs. In: Prevost, Lionel; Marinai, Simone; Schwenker, Friedhelm (eds.) Artificial Neural Networks in Pattern RecognitionThird IAPR Workshop, ANNPR 2008 Paris, France, July 2-4, 2008 Proceedings. Lecture Notes in Computer Science: Vol. 5064 (pp. 24-35). Heidelberg: Springer Verlag 10.1007/978-3-540-69939-2_3

[img] Text
978-3-540-69939-2_3.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (367kB)

Item Type:

Book Section (Book Chapter)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Riesen, Kaspar, Bunke, Horst

Series:

Lecture Notes in Computer Science

Publisher:

Springer Verlag

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 15:22

Last Modified:

24 May 2023 11:41

Publisher DOI:

10.1007/978-3-540-69939-2_3

Web of Science ID:

000258319200003

BORIS DOI:

10.48350/37066

URI:

https://boris.unibe.ch/id/eprint/37066 (FactScience: 206678)

Actions (login required)

Edit item Edit item
Provide Feedback