Hybrid Chain-Hypergraph P Systems for Multiobjective Ensemble Clustering
Clustering is a classic combined optimization problem that is widely used in pattern recognition, image processing, market analysis and so on. However, the efficiency of clustering algorithms decreases as the amount of data increases. In addition, most of the existing methods optimize only one objec...
Main Authors: | Shuo Yan, Yuan Wang, Deting Kong, Jinyan Hu, Jianhua Qu, Xiyu Liu, Jie Xue |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8853276/ |
Similar Items
-
Hypergraph clustering by iteratively reweighted modularity maximization
by: Tarun Kumar, et al.
Published: (2020-08-01) -
A Novel Consensus Fuzzy K-Modes Clustering Using Coupling DNA-Chain-Hypergraph P System for Categorical Data
by: Zhenni Jiang, et al.
Published: (2020-10-01) -
Subdivision of hypergraphs and their colorings
by: Moharram N. Iradmusa
Published: (2020-03-01) -
Clustering Hypergraphs via the MapEquation
by: Matthew Swan, et al.
Published: (2021-01-01) -
ON THE NORMALITY OF t-CAYLEY HYPERGRAPHS OF ABELIAN GROUPS
by: R. Bayat, et al.
Published: (2019-09-01)