SIGN IN
SIGN UP
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
Full Text:
PDF
Buy this Article
Author:
Hichem Frigui
University of Memphis
Published in:
· Proceeding
KDD '02
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Pages 507-512
ACM
New York, NY
, USA
©2002
table of contents
ISBN:1-58113-567-X
doi>
10.1145/775047.775121
2002 Article
Bibliometrics
· Downloads (6 Weeks): 1
· Downloads (12 Months): 26
· Downloads (cumulative): 558
· Citation Count: 1
Tools and Resources
Buy this Article
Request Permissions
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
KDD 13
Share:
|
Tags:
algorithms
algorithms
clustering
clustering
gaussian mixture models
large datasets
measurement
multimedia databases
performance
Feedback
|
Switch to
single page view
(no tabs)
**Javascript is not enabled and is required for the "tabbed view" or switch to the
single page view
**
Powered by
The ACM Guide to Computing Literature
All Tags
Export Formats
Save to Binder