|
[1]"Clustering," in Encyclopedia of Machine Learning, C. Sammut and G. Webb, Eds., ed: Springer US, 2010, pp. 180-180. [2]Z. Ghahramani, "Unsupervised Learning," in Advanced Lectures on Machine Learning. vol. 3176, O. Bousquet, U. Luxburg, and G. Ratsch, Eds., ed: Springer Berlin Heidelberg, 2004, pp. 72-112. [3]A. Jain, "Data Clustering: 50 Years Beyond K-means," in Machine Learning and Knowledge Discovery in Databases. vol. 5211, W. Daelemans, B. Goethals, and K. Morik, Eds., ed: Springer Berlin Heidelberg, 2008, pp. 3-4. [4]I. D. S. Basu, K. Wagstaff, Clustering with Constraints: Algorithms, Applications: Chapman & Hall/CRC Press, 2008. [5]H. Jiang, Z. Ren, J. Xuan, and X. Wu, "Extracting elite pairwise constraints for clustering," Neurocomputing, vol. 99, pp. 124-133, 1/1/ 2013. [6]Z. Shaohong and W. Hau-San, "Active constrained clustering with multiple cluster representatives," in Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on, 2009, pp. 2689-2694. [7]K. Wagstaff, C. Cardie, S. Rogers, S. Schr, #246, and dl, "Constrained K-means Clustering with Background Knowledge," presented at the Proceedings of the Eighteenth International Conference on Machine Learning, 2001. [8]K. Wagstaff and C. Cardie, "Clustering with Instance-level Constraints," presented at the Proceedings of the Seventeenth International Conference on Machine Learning, 2000. [9]X. Xiao-Hua, P. Zhou-Jin, H. Ping, and C. Ling, "Constrained ant clustering," in Machine Learning and Cybernetics (ICMLC), 2011 International Conference on, 2011, pp. 1566-1570. [10]M. N. M. A.K. JAIN, P.J. FLYNN, "Data Clustering: A Review," ACM Computing Surveys, 31(3). 2000. [11]M. C. Law, A. Topchy, and A. Jain, "Clustering with Soft and Group Constraints," in Structural, Syntactic, and Statistical Pattern Recognition. vol. 3138, A. Fred, T. Caelli, R. W. Duin, A. Campilho, and D. de Ridder, Eds., ed: Springer Berlin Heidelberg, 2004, pp. 662-670. [12]I. Davidson and S. S. Ravi, "Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results," in Knowledge Discovery in Databases: PKDD 2005. vol. 3721, A. Jorge, L. Torgo, P. Brazdil, R. Camacho, and J. Gama, Eds., ed: Springer Berlin Heidelberg, 2005, pp. 59-70. [13]A. Y. N. E. P. Xing, M. I. Jordan, and S. Russell, "Distance metric learning, with application to clustering with side-information," presented at the in Advances in Neural Information Processing Systems 15, 2002. [14]Z. Li and L. Tao, "Semi-supervised Hierarchical Clustering," in Data Mining (ICDM), 2011 IEEE 11th International Conference on, 2011, pp. 982-991. [15]J. B. MacQueen, "Some Methods for Classification and Analysis of MultiVariate Observations," presented at the Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, 1967. [16]J. Wu, "Cluster Analysis and K-means Clustering: An Introduction," in Advances in K-means Clustering, ed: Springer Berlin Heidelberg, 2012, pp. 1-16. [17]D. Fisher, "Knowledge Acquisition Via Incremental Conceptual Clustering," Machine Learning, vol. 2, pp. 139-172, 1987/09/01 1987. [18]H. Yi and K. Sam, "Learning Assignment Order of Instances for the Constrained K-Means Clustering Algorithm," Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, vol. 39, pp. 568-574, 2009. [19]C.-L. Yang, "Adaptive Clustering Model for Improving Color Consistency," Doctor of Philosophy, Purdue University, 2009. [20]S. S. R. Ian Davidson, "Clustering With Constraints: Feasibility Issues and the k-Means Algorithm," Fifth SIAM International Conference on Data Mining, H. Kargupta, J. Srivastava, C. Kamath, and A. Goodman, SIAM, Newport, CA, 138-149., 2005. [21]Y. Zhao, G. Karypis, and U. Fayyad, "Hierarchical Clustering Algorithms for Document Datasets," Data Mining and Knowledge Discovery, vol. 10, pp. 141-168, 2005/03/01 2005. [22]R. A. Johnson and D. W. Wichern, Applied multivariate statistical analysis: Prentice-Hall, Inc., 2001. [23]T. Hastie, R. Tibshirani, J. Friedman, and J. Franklin, "The elements of statistical learning: data mining, inference and prediction," The Mathematical Intelligencer, vol. 27, pp. 83-85, 2005/06/01 2005. [24]C. Combes and J. Azema, "Clustering using principal component analysis applied to autonomy–disability of elderly people," Decision Support Systems, vol. 55, pp. 578-586, 5// 2013. [25]H. Gao, W. Hong, J. Cui, and Y. Xu, "Optimization of Principal Component Analysis in Feature Extraction," in Mechatronics and Automation, 2007. ICMA 2007. International Conference on, 2007, pp. 3128-3132. [26]M. Palmer. (2013). Available: http://ordination.okstate.edu/PCA.htm [27]N. Gaitani, C. Lehmann, M. Santamouris, G. Mihalakakou, and P. Patargias, "Using principal component and cluster analysis in the heating evaluation of the school building sector," Applied Energy, vol. 87, pp. 2079-2086, 6// 2010. [28]L. I. Smith. (2002). A tutorial on Principal Components Analysis. Available: http://www.cs.otago.ac.nz/cosc453/student_tutorials/principal_components.pdf [29]N. K. a. K. T. Visalakshi, "Impact of Nomalization in Distributed K-Means Clusteing," International Journal of Soft Computing, pp. 4: 168-172, 2009. [30]J. M. Quick. (2013). R Tutorial Series: Centering Variables and Generating Z-Scores with the Scale() Function. [31]R. D. Team. (2013). Documentation for package ‘base’ version 2.15.3. Available: http://stat.ethz.ch/R-manual/R-patched/library/base/html/scale.html [32]K. Singhs. (2008, 8 DEC 2013). Eigenvalues and Eigenvectors. Available: http://mathsforall.co.uk/userfiles/section%207a%2031st%20march%2008.doc [33]R. Andreani. (2013, 8 DEC 2013). Eigenvalues and Eigenvectors. Available: http://www.ime.unicamp.br/~andreani/matrizes/capitulo7.pdf [34]Applied multivariate statistical analysis: Prentice-Hall, Inc., 1988. [35]J. Xue, C. Lee, S. G. Wakeham, and R. A. Armstrong, "Using principal components analysis (PCA) with cluster analysis to study the organic geochemistry of sinking particles in the ocean," Organic Geochemistry, vol. 42, pp. 356-367, 5// 2011. [36]P. D. John R. Huguenard. Error Sum of Squares (SSE). Available: http://hlab.stanford.edu/ [37]P.-N. Tan, M. Steinbach, and V. Kumar, Introduction to Data Mining, (First Edition): Addison-Wesley Longman Publishing Co., Inc., 2005.
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