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Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk, "HDEye: Visual Mining of HighDimensional Data," IEEE Computer Graphics and Applications, vol. 19, no. 5, pp. 2231, September/October, 1999.  
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@article{ 10.1109/38.788795, author = {Alexander Hinneburg and Daniel A. Keim and Markus Wawryniuk}, title = {HDEye: Visual Mining of HighDimensional Data}, journal ={IEEE Computer Graphics and Applications}, volume = {19}, number = {5}, issn = {02721716}, year = {1999}, pages = {2231}, doi = {http://doi.ieeecomputersociety.org/10.1109/38.788795}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }  
RefWorks Procite/RefMan/Endnote  x  
TY  MGZN JO  IEEE Computer Graphics and Applications TI  HDEye: Visual Mining of HighDimensional Data IS  5 SN  02721716 SP22 EP31 EPD  2231 A1  Alexander Hinneburg, A1  Daniel A. Keim, A1  Markus Wawryniuk, PY  1999 KW  Visual Support of the Clustering Process KW  Visual Data Mining KW  Pixeloriented Visualization Techniques KW  Iconic Visualization Techniques VL  19 JA  IEEE Computer Graphics and Applications ER   
1. H. Sawhney and J. Hafner, “Efficient Color Histogram Indexing,” Proc. Int'l Conf. Image Processing, pp. 6670, 1994.
2. R. Methrotra and J.E. Gray, "FeatureIndexBased Similar Shape Retrieval," Proc. 3rd Working Conf. on Visual Database Systems, Chapman and Hall, London, 1995, pp. 4665.
3. T. Wallace and P. Wintz, "An Efficient ThreeDimensional Aircraft Recognition Algorithm Using Normalized Fourier Descriptors," Computer Graphics and Image Processing, Academic Press, Vol. 13, 1980, pp. 99126.
4. K. Kukich, “Techniques for Automatically Correcting Words in Text,” ACM Computing Surveys, vol. 24, no. 4, pp. 377439, 1992.
5. R.T. Ng and J. Han, "Efficient and Effective Clustering Methods for Spatial Data Mining," Proc. 20th Int'l Conf. Very Large Databases, Morgan Kaufmann, 1994, pp. 144155.
6. M. Ester et al., "DensityConnected Sets and their Application for Trend Detection in Spatial Databases," Proc. 3rd Int'l Conf. on Knowledge Discovery and Data Mining, AAAI Press, Menlo Park, Calif., 1997.
7. X. Xu et al., "A DistributionBased Clustering Algorithm for Mining in Large Spatial Databases," Proc. 14th Int'l Conf. Data Eng., IEEE CS Press, 1998, pp. 324331.
8. E. Schikuta, "GridClustering: An Efficient Hierarchical Clustering Method for Very Large Data Sets," Proc. 13th Int'l Conf. Pattern Recognition, IEEE CS Press, 1996, pp. 101105.
9. T. Zhang, R. Ramakrishnan, and M. Livny, "Birch: An Efficient Data Clustering Method for Very Large Databases," Proc. ACM SIGMOD Int'l Conf. Management of Data, ACM Press, 1996, pp. 103114.
10. W. Wang, J. Yang, and R.R. Muntz, "Sting: A Statistical Information Grid Approach to Spatial Data Mining," Proc. 23rd Int'l Conf. Very Large Databases, Morgan Kaufmann, 1997, pp. 186195.
11. A. Hinneburg and D.A. Keim, "An Efficient Approach to Clustering in Large Multimedia Databases with Noise," Proc. 4rd Int. Conf. on Knowledge Discovery and Data Mining, AAAI Press, Menlo Park, Calif., 1998, pp. 5865.
12. A. Hinneburg and D.A. Keim, "Optimal GridClustering: Towards Breaking the Curse of Dimensionality in HighDimensional Clustering," Proc. 25th Int'l Conf. Very Large Databases, Morgan Kaufmann, 1999, pp. 506517.
13. B.W. Silverman, Density Estimation, Chapman and Hall, London, 1986.
14. D.W. Scott, Multivariate Density Estimation, Wiley and Sons, New York, 1992.
15. L. Breiman et al., Classification and Regression Trees, CRC Press, Monterey, Calif., 1984.
16. C. Faloutsos and K.I. Lin, “Fastmap: A Fast Algorithm for Indexing, DataMining and Visualization of Traditional and Multimedia Datasets,” Proc. SIGMOD, Int'l Conf. Management of Data, pp. 163174, 1995.
17. P.J. Huber, "Projection Pursuit," The Annals of Statistics, Vol. 13, No.2, 1985, pp. 435474.
18. X. Daura et al., "Reversible Peptide Folding in Solution by Molecular Dynamics Simulation," J. Molecular Biology, Vol. 280, 1998, pp. 925932.
1. P.J. Huber, "Projection Pursuit," The Annals of Statistics, Vol. 13, No. 2, 1985, pp. 435474.
2. A. Inselberg and B. Dimsdale, "Parallel Coordinates: A Tool for Visualizing MultiDimensional Geometry," Proc. Visualization '90, IEEE CS Press, 1990, pp. 361370.
3. R.M. Pickett and G.G. Grinstein, “Iconographic Displays for Visualizing Multidimensional Data,” Proc. IEEE Conf. Systems, Man, and Cybernetics, pp. 514519, 1988.
4. J. Beddow, “Shape Coding of Multidimensional Data on a Microcomputer Display,” Proc. Visualization '90, pp. 238246, 1990.
5. D.A. Keim, Visual Support for Query Specification and Data Mining, PhD. thesis, University of Munich, July 1994 and ShakerPublishing Company, Aachen, Germany, 1995.
6. D.A. Keim and H.P. Kriegel, “VisDB: Database Exploration Using Multidimensional Visualization,” IEEE Computer Graphics&Applications, pp. 4049, Sept. 1994.
7. J. LeBlanc, M.O. Ward, and N. Wittels, “Exploring NDimensional Databases,” Proc. Visualization '90, pp. 230239, 1990.
8. G.G. Robertson, J.D. Mackinlay, and S.K. Card, "Cone Trees: Animated 3D Visualizations of Hierarchical Information," Proc. ACM Conf. Human Factors in Computer Systems (CHI 91), ACM Press, 1991, pp. 189194.
9. S. Eick and G.J. Wills, “Navigating Large Networks with Hierarchies,” Proc. Visualization '93, pp. 204210, 1993.
10. R.A. Becker, S.G. Eick, and A.R. Wilks, “Visualizing Network Data,” IEEE Trans. Visualization and Computer Graphics, vol. 1, no. 1, pp. 1628, Mar. 1995.
11. D. Asimov, “The Grand Tour: A Tool For Viewing Multidimensional Data,” SIAM J. Science and Statistical Computing, vol. 6, pp. 128143, 1985.
12. K. Koffka, Principles of Gestalt Psychology. New York: HarcourtBrace, 1935. C. Ahlberg, and B. Shneiderman, “Visual Information Seeking: Tight Coupling of Dynamic Query Filters with Starfield Displays,” Proc. Conf. Human Factors and Computing Systems (CHI '94), pp. 313317, 479480, 1994.
13. C. Ahlberg, C. Williamson, and B. Shneiderman, “Dynamic Queries for Information Exploration: An Implementation and Evaluation,” Proc. ACM CHI Int'l Conf. Human Factors in Computing, pp. 619626, 1992.
14. A. Buja et al., “Interactive Data Visualization Using Focusing and Linking,” Proc. Visualization '91, pp. 156163, 1991.
15. M. Sarkar and M. Brown, “Graphical Fisheye Views,” Comm. ACM, vol. 37, no. 12, pp. 7384, 1994.
16. J. Lamping, R. Rao, and P. Pirolli, “A Focus + Context Technique Based on Hyperbolic Geometry for Visualizing Large Hierarchies,” Proc. Human Factors in Computing Systems CHI '95 Conf., pp. 401408, 1995.