DocumentCode
1846891
Title
Smart: Novel self splitting-merging clustering algorithm
Author
Fa, Rui ; Nandi, Asoke K.
Author_Institution
Dept. of Electr. Eng. & Electron., Univ. of Liverpool, Liverpool, UK
fYear
2012
fDate
27-31 Aug. 2012
Firstpage
2198
Lastpage
2202
Abstract
In this paper, we propose a new self splitting-merging clustering algorithm, named splitting-merging awareness tactics (SMART). The novel framework, which integrates many techniques, starts with one cluster and employs a splitting-while-merging process. The SMART has self-awareness to split and merge the clusters automatically in iterations. Both the framework and the techniques are detailed and illustrated by a good benchmark test. Furthermore, three microarray gene expression datasets are studied using our approach. The numerical results show that our proposal is automotive and effective.
Keywords
pattern clustering; SMART; automotive; microarray gene expression datasets; self splitting-merging clustering algorithm; splitting-merging awareness tactics; Algorithm design and analysis; Benchmark testing; Clustering algorithms; Gene expression; Merging; Partitioning algorithms; Signal processing algorithms; microarray; self splitting-merging clustering algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
Conference_Location
Bucharest
ISSN
2219-5491
Print_ISBN
978-1-4673-1068-0
Type
conf
Filename
6333843
Link To Document