LoCH: A neighborhood-based multidimensional projection technique for high-dimensional sparse spaces
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Fernando Vieira Paulovich | Francisco M. Fatore | Samuel G. Fadel | Felipe S. L. G. Duarte | Felipe S. L. G. Duarte | F. Paulovich
[1] J. Kruskal. Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis , 1964 .
[2] W. Torgerson,et al. Multidimensional scaling of similarity , 1965, Psychometrika.
[3] John W. Sammon,et al. A Nonlinear Mapping for Data Structure Analysis , 1969, IEEE Transactions on Computers.
[4] Sahibsingh A. Dudani. The Distance-Weighted k-Nearest-Neighbor Rule , 1976, IEEE Transactions on Systems, Man, and Cybernetics.
[5] Jon Louis Bentley,et al. An Algorithm for Finding Best Matches in Logarithmic Expected Time , 1977, TOMS.
[6] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[7] P. Rousseeuw. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .
[8] G Salton,et al. Developments in Automatic Text Retrieval , 1991, Science.
[9] James C. Bezdek,et al. On cluster validity for the fuzzy c-means model , 1995, IEEE Trans. Fuzzy Syst..
[10] Christos Faloutsos,et al. FastMap: a fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets , 1995, SIGMOD '95.
[11] Matthew Chalmers,et al. A linear iteration time layout algorithm for visualising high-dimensional data , 1996, Proceedings of Seventh Annual IEEE Visualization '96.
[12] James A. Wise. The ecological approach to text visualization , 1999 .
[13] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[14] George Karypis,et al. A Comparison of Document Clustering Techniques , 2000 .
[15] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[16] Dimitris Achlioptas,et al. Database-friendly random projections , 2001, PODS.
[17] Ricardo A. Baeza-Yates,et al. Searching in metric spaces , 2001, CSUR.
[18] Matthew Chalmers,et al. A hybrid layout algorithm for sub-quadratic multidimensional scaling , 2002, IEEE Symposium on Information Visualization, 2002. INFOVIS 2002..
[19] Wolfgang Kienreich,et al. The InfoSky visual explorer: Exploiting Hierarchical Structure and Document Similarities , 2002, Inf. Vis..
[20] Joshua B. Tenenbaum,et al. Global Versus Local Methods in Nonlinear Dimensionality Reduction , 2002, NIPS.
[21] Dimitris Achlioptas,et al. Database-friendly random projections: Johnson-Lindenstrauss with binary coins , 2003, J. Comput. Syst. Sci..
[22] Pietro Perona,et al. Object class recognition by unsupervised scale-invariant learning , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[23] Rosane Minghim,et al. On Improved Projection Techniques to Support Visual Exploration of Multi-Dimensional Data Sets , 2003, Inf. Vis..
[24] Guy Melançon,et al. Multiscale hybrid MDS , 2004, Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004..
[25] M. Martin-Merino,et al. A new Sammon algorithm for sparse data visualization , 2004, ICPR 2004.
[26] Ulrik Brandes,et al. Eigensolver Methods for Progressive Multidimensional Scaling of Large Data , 2006, GD.
[27] John Langford,et al. Cover trees for nearest neighbor , 2006, ICML.
[28] Alexandr Andoni,et al. Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions , 2006, 2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS'06).
[29] Chong-Wah Ngo,et al. Evaluating bag-of-visual-words representations in scene classification , 2007, MIR '07.
[30] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[31] Rosane Minghim,et al. HiPP: A Novel Hierarchical Point Placement Strategy and its Application to the Exploration of Document Collections , 2008, IEEE Transactions on Visualization and Computer Graphics.
[32] Haim Levkowitz,et al. Least Square Projection: A Fast High-Precision Multidimensional Projection Technique and Its Application to Document Mapping , 2008, IEEE Transactions on Visualization and Computer Graphics.
[33] Marc Olano,et al. Glimmer: Multilevel MDS on the GPU , 2009, IEEE Transactions on Visualization and Computer Graphics.
[34] Jing Hua,et al. Exemplar-based Visualization of Large Document Corpus (InfoVis2009-1115) , 2009, IEEE Transactions on Visualization and Computer Graphics.
[35] Cláudio T. Silva,et al. Two-Phase Mapping for Projecting Massive Data Sets , 2010, IEEE Transactions on Visualization and Computer Graphics.
[36] Cláudio T. Silva,et al. Interactive Vector Field Feature Identification , 2010, IEEE Transactions on Visualization and Computer Graphics.
[37] Rafael M. Maki,et al. Biosensors for efficient diagnosis of leishmaniasis: innovations in bioanalytics for a neglected disease. , 2010, Analytical chemistry.
[38] Léon Bottou,et al. Large-Scale Machine Learning with Stochastic Gradient Descent , 2010, COMPSTAT.
[39] Osvaldo N Oliveira,et al. Information visualization techniques for sensing and biosensing. , 2011, The Analyst.
[40] Charl P. Botha,et al. Piece wise Laplacian‐based Projection for Interactive Data Exploration and Organization , 2011, Comput. Graph. Forum.
[41] Fernando V. Paulovich,et al. Using multidimensional projection techniques for reaching a high distinguishing ability in biosensing , 2011, Analytical and bioanalytical chemistry.
[42] Luis Gustavo Nonato,et al. Local Affine Multidimensional Projection , 2011, IEEE Transactions on Visualization and Computer Graphics.
[43] Cláudio T. Silva,et al. User-Centered Multidimensional Projection Techniques , 2012, Computing in Science & Engineering.
[44] Daniel A. Keim,et al. Rolled‐out Wordles: A Heuristic Method for Overlap Removal of 2D Data Representatives , 2012, Comput. Graph. Forum.
[45] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[46] Gorjan Alagic,et al. #p , 2019, Quantum information & computation.