The Modeling and Simulation of Data Clustering Algorithms in Data Mining with Big Data

Big Data is a popular cutting-edge technology nowadays. Techniques and algorithms are expanding in different areas including engineering, biomedical, and business. Due to the high-volume and comple...

[1]  S. P. Lloyd,et al.  Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.

[2]  Manolis Tsiknakis,et al.  Synchronization coupling investigation using ICA cluster analysis in resting MEG signals in reading difficulties , 2013, 13th IEEE International Conference on BioInformatics and BioEngineering.

[3]  Arthur Zimek,et al.  Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection , 2015, ACM Trans. Knowl. Discov. Data.

[4]  R. Sundberg.  An iterative method for solution of the likelihood equations for incomplete data from exponential families , 1976 .

[5]  E. Forgy,et al.  Cluster analysis of multivariate data : efficiency versus interpretability of classifications , 1965 .

[6]  Kenneth D. Bailey,et al.  Numerical Taxonomy and Cluster Analysis , 1994 .

[7]  R. Cattell.  The description of personality: basic traits resolved into clusters. , 1943 .

[8]  Lawrence O. Hall,et al.  Fast Accurate Fuzzy Clustering through Data Reduction , 2003 .

[9]  Bernhard Schölkopf,et al.  Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.

[10]  Hans-Peter Kriegel,et al.  DBSCAN Revisited, Revisited , 2017, ACM Trans. Database Syst..

[11]  Benjamin King.  Step-Wise Clustering Procedures , 1967 .

[12]  Hans-Peter Kriegel,et al.  Density‐based clustering , 2011, WIREs Data Mining Knowl. Discov..

[13]  New York Dover,et al.  ON THE CONVERGENCE PROPERTIES OF THE EM ALGORITHM , 1983 .

[14]  Vladimir Estivill-Castro,et al.  Why so many clustering algorithms: a position paper , 2002, SKDD.

[15]  Anil K. Jain,et al.  A self-organizing network for hyperellipsoidal clustering (HEC) , 1996, IEEE Trans. Neural Networks.

[16]  Fionn Murtagh,et al.  A Survey of Recent Advances in Hierarchical Clustering Algorithms , 1983, Comput. J..

[17]  George Nagy,et al.  State of the art in pattern recognition , 1968 .

[18]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .