DocumentCode
2197952
Title
Revised PSK Clustering Algorithm
Author
Li, Wei
Author_Institution
Fac. of Inst. of Operational Res. & Cybern., Hangzhou Dianzi Univ., Hangzhou, China
fYear
2009
fDate
24-26 Sept. 2009
Firstpage
1
Lastpage
3
Abstract
We present a new clustering algorithm (NPSK algorithm), based on the modification of the newly developed point symmetry-based K-means algorithm (PSK algorithm). Not only the proposed NPSK algorithm is suitable for almost all test data sets used by Chung and Liu for PSK algorithm , the proposed NPSK algorithm is also suitable for the case where the symmetric property of the data set is not so distinct. Experimental results demonstrate that our proposed NPSK algorithm is rather encouraging.
Keywords
pattern clustering; statistical analysis; NPSK clustering algorithm; PSK clustering algorithm; data set; point symmetry-based K-means algorithm; statistical analysis; symmetric property; Clustering algorithms; Cybernetics; Image processing; Machine learning; Machine learning algorithms; Partitioning algorithms; Pattern recognition; Phase shift keying; Statistics; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-3692-7
Electronic_ISBN
978-1-4244-3693-4
Type
conf
DOI
10.1109/WICOM.2009.5305670
Filename
5305670
Link To Document