**Commenced**in January 2007

**Frequency:**Monthly

**Edition:**International

**Paper Count:**31917

##### Initializing K-Means using Genetic Algorithms

**Authors:**
Bashar Al-Shboul,
Sung-Hyon Myaeng

**Abstract:**

**Keywords:**
Clustering,
Genetic Algorithms,
K-means.

**Digital Object Identifier (DOI):**
doi.org/10.5281/zenodo.1080070

**References:**

[1] R.J. Bauer, "Genetic Algorithms and Investment Strategies", Wiley Finance Editions, New York, John Wiley and Sons, 1994.

[2] H. Ben Amor, and A. Rettinger, "Intelligent exploration for genetic algorithms: Using self-organizing maps in evolutionary computation", In proceedings of the 2005 conference on Genetic and evolutionary computation, 2005, pp. 1531-1538.

[3] P. Bradley, and U. Fayyad, "Refining Initial Points for K-Means Clustering," In Proceeding of 15th International Conference on Machine Learning, 1998, pp. 91-99.

[4] P. Chi, "Genetic Search with Proportion Estimation", In proceedings of the Third Int. Con. on Genetic Algorithms (ICGA), San Mateo, California, 1989, pp. 92-97.

[5] U. Fayyad, C. Reina, and J. Bradley, "Initialization of iterative refinement clustering algorithms", In proceedings of Fourth Int. Con. on Knowledge Discovery and Data Mining, AAAI, pp.194-198, 1998.

[6] C. Fraley, and A. Raftery, "How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis," Technical Report 329, Dept. of Statistics, University of Washington, Seattle, 1998.

[7] D. Goldberg, "Computer-Aided Gas Pipeline Operation Using Genetic Algorithms And Rule Learning," Ph.D. thesis, University of Michigan, Ann Arbor, 1983.

[8] D. Goldberg, "Genetic Algorithms In Search, Optimization, And Machine Learning," Addison-Wesley, New York, 1989.

[9] J. Grefenstette, C. Ramsey, and A. Schultz, Learning Sequential Decision Rules Using Simulation Models And Competition, Machine Learning 5, Vol. 4, 1990, pp. 355-381.

[10] L. Hall, B. Ozyurt, and J. Bezdek, "Clustering With A Genetically Optimized Approach," IEEE Transactions on Evolutionary computation, Vol. 3, No. 2, 1999, pp 103-112.

[11] J. Han, and M. Kamber, "Data Mining: Concepts And Techniques," Morgan Kaufmann Publishers, 2001.

[12] J. Holland, "Adaptation In Natural And Artificial Systems," University of Michigan Press, 1975.

[13] L. Kaufman, and P. Rousseeuw, "Finding Groups In Data: And Introduction To Cluster Analysis," John Wiley and Sons, 1990.

[14] A. Korol, I. Preygel, and S. Preygel, "Algorithms Of Estimation And Population-Genetic Models," Central Library of Imperial College, Chapman and Hall, 1994.

[15] K. Krishna, and M. Murty, "Genetic K-Means Algorithm," IEEE Transactions on Systems, Vol. 29, NO. 3, 1999, pp. 433-439.

[16] Y. Lu, S. Lu, F. Fotouhi, Y. Deng, and S. Brown, "FGKA: A Fast Genetic K-Means Clustering Algorithm," ACM Symposium on Applied Computing, 2004

[17] Y. Lu, S. Lu, F. Fotouhi, Y. Deng, and S. Brown, "Incremental Genetic K-Means Algorithm And Its Application In Gene Expression Data Analysis," BMC Bioinformatics, 2004.

[18] J. MacQueen, "Some Methods For Classification And Analysis Of Multivariate Observations," In proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, University of California Press, 1967, pp. 281-297.

[19] U. Maulik, and S. Bandyopadhyay, "Genetic Algorithm-Based Clustering Technique", Pattern Recognition 33, 1999, pp. 1455-1465.

[20] J. Pena, J. Lozano, and P. Larranaga, "An Empirical Comparison of Four Initialization Methods For The K-Means Algorithm," Pattern Recognition Letters, Vol. 20 No. 10, 1999, pp. 1027-10.