DocumentCode :
3642069
Title :
0-Step K-means for clustering Wikipedia search results
Author :
Julian Szymański;Kamil Wegrzynowicz
Author_Institution :
Department of Electronic, Telecommunication and Informatics, Gdań
fYear :
2011
fDate :
6/1/2011 12:00:00 AM
Firstpage :
253
Lastpage :
257
Abstract :
This article describes an improvement for K-means algorithm and its application in the form of a system that clusters search results retrieved from Wikipedia. The proposed algorithm eliminates K-means disadvantages and allows one to create a cluster hierarchy. The main contributions of this paper include the following: (1) The concept of an improved K-means algorithm and its application for hierarchical clustering. (2) Description of the WikiClusterSearch system that employs the proposed algorithm to organize Wikipedia search results into clusters.
Keywords :
"Clustering algorithms","Measurement","Internet","Encyclopedias","Electronic publishing","Partitioning algorithms"
Publisher :
ieee
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on
Print_ISBN :
978-1-61284-919-5
Type :
conf
DOI :
10.1109/INISTA.2011.5946070
Filename :
5946070
Link To Document :
بازگشت