Conference Paper/Proceeding/Abstract 1006 views
Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
F. Zaidi,
D. Archambault,
G. Melançon,
Daniel Archambault 
Advances in Data Mining. Applications and Theoretical Aspects, Volume: 6171 LNAI, Pages: 42 - 56
Swansea University Author:
Daniel Archambault
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DOI (Published version): 10.1007/978-3-642-14400-4_4
Abstract
Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
| Published in: | Advances in Data Mining. Applications and Theoretical Aspects |
|---|---|
| ISBN: | 978-3-642-14399-1 978-3-642-14400-4 |
| Published: |
2010
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| Online Access: |
http://www.scopus.com/inward/record.url?eid=2-s2.0-77954867692&partnerID=MN8TOARS |
| URI: | https://cronfa.swan.ac.uk/Record/cronfa23049 |
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| Item Description: |
@article archambault2010,title = Evaluating the quality of clustering algorithms using cluster path lengths,journal = Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),year = 2010,volume = 6171 LNAI,pages = 42-56,author = Zaidi, F. and Archambault, D. and Melançon, G. |
|---|---|
| College: |
Faculty of Science and Engineering |
| Start Page: |
42 |
| End Page: |
56 |