Fast approximate hierarchical clustering using similarity heuristics

doi:10.1186/1756-0381-1-9

BioData Mining

Volume 1

Viewing options:

Abstract
Full text
PDF (3.2MB)
Additional files

Associated material:

Related literature:

Articles citing this article
on Google Scholar
on PubMed Central
Other articles by authors
on Google Scholar

Kull M
Vilo J

on PubMed

Kull M
Vilo J
Related articles/pages
on Google

on Google Scholar

on PubMed

Tools:

Post to:

Research

Fast approximate hierarchical clustering using similarity heuristics

Meelis Kull¹^,2 and Jaak Vilo¹^,2

¹Institute of Computer Science, University of Tartu, Liivi 2, 50409 Tartu, Estonia

²Quretec Ltd. Ülikooli 6a, 51003 Tartu, Estonia

author email corresponding author email

BioData Mining 2008, 1:9doi:10.1186/1756-0381-1-9


Published:	22 September 2008

Additional files

Additional file 1:

The influence of parameters on approximation quality. Figures illustrating the influence of the number of pivots on the JDR, GO50 and GO25 quality measures.

Format: PDF Size: 365KB Download file

This file can be viewed with: Adobe Acrobat Reader