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Analisis Kinerja Metode Gabungan Genetic Algorithm dan K-Means Clustering dalam Penentuan Nilai Centroid

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DAFTAR PUSTAKA

Ahmad, A. and L. Dey. 2007. A K-Mean Clustering Algorithm for Mixed Numeric and Categorical Data. Data & Knowledge Engineering63: pp. 503-527

Bai, L., J. Liang, & C. Dang. 2011. An Inititalization Method to Simultaneously Find Initial Cluster Centers and The Number of Clusters for Clustering Categorical Data. Knowledge-Based Systems24: pp. 785–795.

Cao, F., J. Liang, and L. Bai. 2009. A New Initialization Method for Categorical Data Clustering. Expert Systems with Applications36: pp. 10223-10228

Fayyad, U., G.P. Shapiro, and P. Smyth. 1996. From Data Mining to Knowledge Discovery in Database. AI Magazine: pp. 37-53

Konar, Amit. 2005. Computational Intelligence Principles, Techniques, and Applications. Springer: Calcutta, India

Larose, D.T. 2006. Data Mining Methods and Models. John Wiley and Sons, Inc: New Jersey.

Li, R., X. Q. Li and G. Wang. 2015. Global Optimal and Minimal Solutions to K-Means Cluster Analysis, Proceedings of the International Conference IP, Computer Vision, and Pattern Recoginition, pp. 274-283

Maitra, R., A.D. Peterson, A.P. Ghosh. 2010. A Systematic Evaluation of Different Methods for Initializing the K-Means Clustering Algorithm. IEEE Trans. Knowl. Data Eng.

Muzid, Syafiul. 2014. Dinamisasi Parameter Algoritma Genetika Menggunakan Population Resizing on Fitness Improvement Fuzzy Evalutionary Algorithm (PROFIFEA). Prosiding SNATIF 2014, pp. 471-478

Negnevitsky, Michael. 2005. Artificial Intteligence-A Guide to Intelligent Systems. Addison Wesley: Edinburg

Rabunal, J.R. & Dorado, J. 2006. Artificial Neural Networks in Real-Life Applications, Ideal Group Publishing: Hershey, United States of America.

Rahman, M.A. and M.Z. Islam. 2012. CRUDAW: A Novel Fuzzy Technique for Clustering Records Following User Defined Attribute Weights, Proceedings of the Tenth Australasian Data Mining Conference (AusDM), pp. 27-41

Rahman, M.A and M.Z. Islam. 2014. A Hybrid Clustering Technique Combining a Novel Genetic Algorithm with K-Means. Knowledge-Based Systems71: pp.

345-365

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Rokach, L. And O. Maimon. 2005. Data Mining and Knowledge Discovery Handbook. Springer: Tel Aviv.

Salman, M.S., O. Kukrer, and A. Hocanin. 2017. Recursive Inverse Algorithm: Mean-Square-Error Analysis. Digital Signal Processing 66: pp. 10-17

Serapiao, A.B.S., G.S. Correa, F.B. Goncalves, and V.O. Carvalho. 2016. Combining K-Means and K-Harmonic With Fish School Search Algorithm for Data Clustering Task on Graphics Processing Units. Applied Soft Computing41: pp.

290-304

Shapiro, G.P. 1991. Knowledge Discovery in Real Databaes: A Report on The International Joint Conference in Artificial Intelligence (IJCAI). AI Magazine: pp. 68-70

Steinbach, Michael, Ertoz, Levent dan Kumar, Vipin. 2014. The Challenges of Clustering High Dimensional Data. Minnesota Supercomputing Institute

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