FGKA swMATH ID: 37722 Software Authors: Lu, Y.; Lu, S.; Fotouhi, F.; Deng, Y.; Brown, S. J. Description: FGKA: a Fast Genetic K-means Clustering Algorithm. In this paper, we propose a new clustering algorithm called Fast Genetic K-means Algorithm (FGKA). FGKA is inspired by the Genetic K-means Algorithm (GKA) proposed by Krishna and Murty in 1999 but features several improvements over GKA. Our experiments indicate that, while K-means algorithm might converge to a local optimum, both FGKA and GKA always converge to the global optimum eventually but FGKA runs much faster than GKA. Homepage: https://dl.acm.org/doi/pdf/10.1145/967900.968029 Related Software: Silhouettes; ROCK; clusfind; Cobweb/3; FCM4DD; kamila; clustMixType; geosphere; StreamKM++; k-means++; J-MEANS; COSA; XM2VTSDB Cited in: 4 Documents all top 5 Cited by 13 Authors 1 Chang, Ruei-Chuan 1 Chao, Yi-Hsiang 1 D’Urso, Pierpaolo 1 Kazakovtsev, Lev A. 1 Kuo, R. J. 1 Lin, Junyu 1 Massari, Riccardo 1 Nguyen, Thi Phuong Quyen 1 Orlov, Victor I. 1 Rozhnov, Ivan P. 1 Shkaberina, Guzel Sh. 1 Tsai, Wei-Ho 1 Wang, Hsin-min Cited in 4 Serials 1 Information Sciences 1 Pattern Recognition 1 Mathematical Problems in Engineering 1 Soft Computing Cited in 3 Fields 3 Statistics (62-XX) 1 Computer science (68-XX) 1 Operations research, mathematical programming (90-XX) Citations by Year