TY - GEN
T1 - Multi-objective data clustering using variable-length real jumping genes genetic algorithm and local search method
AU - Ripon, Kazi Shah Nawaz
AU - Tsang, Chi-Ho
AU - Kwong, Sam
PY - 2006
Y1 - 2006
N2 - In this paper, we present a novel multi-objective evolutionary clustering approach using Variable-length Real Jumping Genes Genetic Algorithms (VRJGGA). The proposed algorithm that extends Jumping Genes Genetic Algorithm (JGGA) [1] evolves clustering solutions using multiple clustering criteria, without a-priori knowledge of the actual number of clusters. Some local search methods such as probabilistic cluster merging and splitting are introduced in VRJGGA for the clustering improvement. Experimental results based on several artificial and real-world data show that VRJGGA can obtain non-dominated and near-optimal clustering solutions in terms of different cluster quality measures and classification performance. © 2006 IEEE.
AB - In this paper, we present a novel multi-objective evolutionary clustering approach using Variable-length Real Jumping Genes Genetic Algorithms (VRJGGA). The proposed algorithm that extends Jumping Genes Genetic Algorithm (JGGA) [1] evolves clustering solutions using multiple clustering criteria, without a-priori knowledge of the actual number of clusters. Some local search methods such as probabilistic cluster merging and splitting are introduced in VRJGGA for the clustering improvement. Experimental results based on several artificial and real-world data show that VRJGGA can obtain non-dominated and near-optimal clustering solutions in terms of different cluster quality measures and classification performance. © 2006 IEEE.
UR - https://www.scopus.com/pages/publications/40649087408
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-40649087408&origin=recordpage
U2 - 10.1109/ijcnn.2006.247372
DO - 10.1109/ijcnn.2006.247372
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0780394909
SN - 9780780394902
SP - 3609
EP - 3616
BT - The 2006 IEEE International Joint Conference on Neural Network Proceedings
PB - IEEE
T2 - 2006 International Joint Conference on Neural Networks (IJCNN '06)
Y2 - 16 July 2006 through 21 July 2006
ER -