DocumentCode
3731385
Title
Fuzzy Spectral Partition Ensemble Based on Occasion
Author
Xiaolong Meng;Yan Yang;Hongjun Wang
Author_Institution
Sch. of Inf. Sci. &
fYear
2015
Firstpage
40
Lastpage
45
Abstract
Clustering ensemble takes advantage of ensemble learning technique, combining multiple cluster members´ results to get uniform and more reasonable clustering result. This paper integrates in the staged results of spectral partition ensemble algorithm orderly, applying the fuzzy C-means clustering algorithm in the following clustering stage of spectral partition ensemble, and presents four fuzzy spectral partition ensemble based on occasion. Compared with the existing graph partition ensemble algorithms, our algorithms do better in the clustering effectiveness and efficiency.
Keywords
"Clustering algorithms","Partitioning algorithms","Matrix decomposition","Algorithm design and analysis","Laplace equations","Eigenvalues and eigenfunctions","Yttrium"
Publisher
ieee
Conference_Titel
Intelligent Systems and Knowledge Engineering (ISKE), 2015 10th International Conference on
Type
conf
DOI
10.1109/ISKE.2015.47
Filename
7383022
Link To Document