G. Albuquerque, M. Eisemann, D. J. Lehmann, H. Theisel, and M. Magnor, Improving the visual analysis of high-dimensional datasets using quality measures, 2010 IEEE Symposium on Visual Analytics Science and Technology, pp.19-26, 2010.
DOI : 10.1109/VAST.2010.5652433

R. A. Baeza-yates and B. A. Ribeiro-neto, Modern Information Retrieval -the concepts and technology behind search, 2011.

H. Bay, A. Ess, T. Tuytelaars, and L. Van-gool, Speeded-up robust features (surf) Computer Vision and Image Understanding, pp.346-359, 2008.

M. Behrisch, B. Bach, N. H. Riche, T. Schreck, and J. Fekete, Matrix Reordering Methods for Table and Network Visualization, Computer Graphics Forum, vol.33, issue.4, 2016.
DOI : 10.1109/32.221135
URL : https://hal.archives-ouvertes.fr/hal-01326759

M. Behrisch, F. Korkmaz, L. Shao, and T. Schreck, Feedback-driven interactive exploration of large multidimensional data supported by visual classifier, 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), pp.43-52, 2014.
DOI : 10.1109/VAST.2014.7042480

E. Bertini, A. Tatu, and D. A. Keim, Quality Metrics in High-Dimensional Data Visualization: An Overview and Systematization, IEEE Transactions on Visualization and Computer Graphics, vol.17, issue.12, pp.2203-2212, 2011.
DOI : 10.1109/TVCG.2011.229

A. Bosch, A. Zisserman, and X. Munoz, Representing shape with a spatial pyramid kernel, Proceedings of the 6th ACM international conference on Image and video retrieval, CIVR '07, pp.401-408, 2007.
DOI : 10.1145/1282280.1282340

S. A. Chatzichristofis and Y. S. Boutalis, CEDD: Color and Edge Directivity Descriptor: A Compact Descriptor for Image Indexing and Retrieval, Computer vision systems, pp.312-322, 2008.
DOI : 10.1007/978-3-540-79547-6_30

S. A. Chatzichristofis and Y. S. Boutalis, FCTH: Fuzzy Color and Texture Histogram - A Low Level Feature for Accurate Image Retrieval, 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services, pp.191-196, 2008.
DOI : 10.1109/WIAMIS.2008.24

A. Dasgupta and R. Kosara, Pargnostics: Screen-Space Metrics for Parallel Coordinates, IEEE Transactions on Visualization and Computer Graphics, vol.16, issue.6, pp.1017-1026, 2010.
DOI : 10.1109/TVCG.2010.184

G. Ellis and A. Dix, A Taxonomy of Clutter Reduction for Information Visualisation, IEEE Transactions on Visualization and Computer Graphics, vol.13, issue.6, pp.1216-1223, 2007.
DOI : 10.1109/TVCG.2007.70535

F. Graf, Jfeaturelib v1

J. Han and K. Ma, Fuzzy color histogram and its use in color image retrieval, IEEE Transactions on Image Processing, vol.11, issue.8, pp.944-952, 2002.
DOI : 10.1109/TIP.2002.801585

R. Haralick, K. Shanmugam, and I. Dinstein, Textural features for image classification. Systems, Man and Cybernetics, IEEE Transactions, issue.36, pp.610-621, 1973.

M. Heikkl and M. Pietikinen, A texture-based method for modeling the background and detecting moving objects, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.4, pp.657-62, 2006.
DOI : 10.1109/TPAMI.2006.68

N. Henry, J. Fekete, and M. J. Mcguffin, NodeTrix: a Hybrid Visualization of Social Networks, IEEE Transactions on Visualization and Computer Graphics, vol.13, issue.6, pp.1302-1311, 2007.
DOI : 10.1109/TVCG.2007.70582
URL : https://hal.archives-ouvertes.fr/hal-00689983

P. Hough, Method and means for recognizing complex patterns, 1962.

J. Huang, S. R. Kumar, M. Mitra, W. Zhu, and R. Zabih, Image indexing using color correlograms, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.762-768609412, 1997.
DOI : 10.1109/CVPR.1997.609412

S. Ingram, T. Munzner, V. Irvine, M. Tory, S. Bergner et al., DimStiller: Workflows for dimensional analysis and reduction, 2010 IEEE Symposium on Visual Analytics Science and Technology, pp.3-10, 2010.
DOI : 10.1109/VAST.2010.5652392

E. Kasutani and A. Yamada, The MPEG-7 color layout descriptor: a compact image feature description for high-speed image/video segment retrieval, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), pp.674-677959135, 2001.
DOI : 10.1109/ICIP.2001.959135

D. J. Lehmann, F. Kemmler, T. Zhyhalava, M. Kirschke, and H. Theisel, Visualnostics: Visual Guidance Pictograms for Analyzing Projections of High-dimensional Data, Computer Graphics Forum, vol.31, issue.3, pp.291-300, 2015.
DOI : 10.1111/cgf.12641

I. Liiv, Seriation and matrix reordering methods: An historical overview. Statistical analysis and data mining, pp.70-91, 2010.

M. Lux and S. A. Chatzichristofis, Lire: lucene image retrieval, Proceeding of the 16th ACM international conference on Multimedia, MM '08, pp.1085-1088, 2008.
DOI : 10.1145/1459359.1459577

M. Lux, A. Pitman, and O. Marques, Callisto: Tag recommendations by image content, p.87, 2010.

B. S. Morse, Lecture 9: Shape description (regions)

C. Mueller, B. Martin, and . Lumsdaine, Interpreting large visual similarity matrices, 2007 6th International Asia-Pacific Symposium on Visualization, pp.149-152, 2007.
DOI : 10.1109/APVIS.2007.329290

D. K. Park, Y. S. Jeon, and C. S. Won, Efficient use of local edge histogram descriptor, Proceedings of the 2000 ACM workshops on Multimedia , MULTIMEDIA '00, pp.51-54, 2000.
DOI : 10.1145/357744.357758

W. Peng, M. O. Ward, and E. A. Rundensteiner, Clutter reduction in multidimensional data visualization using dimension reordering, Information Visualization. INFOVIS 2004. IEEE Symp, pp.89-96, 2004.

E. Rosten, R. Porter, and T. Drummond, Faster and Better: A Machine Learning Approach to Corner Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.1, pp.105-119275, 2008.
DOI : 10.1109/TPAMI.2008.275

Y. Rui, T. S. Huang, and S. Chang, Image Retrieval: Current Techniques, Promising Directions, and Open Issues, Journal of Visual Communication and Image Representation, vol.10, issue.1, pp.39-62, 1999.
DOI : 10.1006/jvci.1999.0413

M. Scherer, J. Bernard, and T. Schreck, Retrieval and exploratory search in multivariate research data repositories using regressional features, Proceeding of the 11th annual international ACM/IEEE joint conference on Digital libraries, JCDL '11, pp.363-372, 2011.
DOI : 10.1145/1998076.1998144

J. Schneidewind, M. Sips, and D. A. Keim, Pixnostics: Towards Measuring the Value of Visualization, 2006 IEEE Symposium On Visual Analytics And Technology, pp.199-206, 2006.
DOI : 10.1109/VAST.2006.261423

J. Seo and B. Shneiderman, A rank-by-feature framework for unsupervised multidimensional data exploration using low dimensional projections, Information Visualization INFOVIS 2004. IEEE Symposium on, pp.65-72, 2004.

L. Shao, M. Behrisch, T. Schreck, T. Von-landesberger, M. Scherer et al., Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces, Proc. EuroVA International Workshop on Visual Analytics. The Eurographics Association, 2014.

L. Shao, T. Schleicher, M. Behrisch, T. Schreck, I. Sipiran et al., Guiding the exploration of scatter plot data using motif-based interest measures, IEEE Int. Symposium on Big Data Visual Analytics, 2015.

A. W. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, Contentbased image retrieval at the end of the early years. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.22, issue.12, pp.1349-1380, 2000.

T. Smith, W. Lange, and . Marks, Fractal methods and results in cellular morphology ??? dimensions, lacunarity and multifractals, Journal of Neuroscience Methods, vol.69, issue.2, pp.123-136, 1996.
DOI : 10.1016/S0165-0270(96)00080-5

H. Tamura, S. Mori, and T. Yamawaki, Textural Features Corresponding to Visual Perception, IEEE Transactions on Systems, Man, and Cybernetics, vol.8, issue.6, pp.460-473, 1978.
DOI : 10.1109/TSMC.1978.4309999

A. Tatu, G. Albuquerque, M. Eisemann, P. Bak, H. Theisel et al., Automated Analytical Methods to Support Visual Exploration of High-Dimensional Data, IEEE Transactions on Visualization and Computer Graphics, vol.17, issue.5, pp.584-597, 2011.
DOI : 10.1109/TVCG.2010.242

A. Tatu, F. Maas, I. Farber, E. Bertini, T. Schreck et al., Subspace search and visualization to make sense of alternative clusterings in high-dimensional data, 2012 IEEE Conference on Visual Analytics Science and Technology (VAST), pp.63-72, 2012.
DOI : 10.1109/VAST.2012.6400488

K. Van-de-sande, T. Gevers, and C. Snoek, Evaluating color descriptors for object and scene recognition. Pattern Analysis and Machine Intelligence, IEEE Trans. on, vol.32, issue.9, pp.1582-1596

L. Von-rüden, Visual analytics of parallel-performance data: Automatic identification of relevant and similar data subsets, 2015.

L. Von-rüden, M. Hermanns, M. Behrisch, D. A. Keim, B. Mohr et al., Separating the wheat from the chaff, Proceedings of the 2nd Workshop on Visual Performance Analysis, VPA '15, pp.1-4, 1145.
DOI : 10.1145/2835238.2835242

L. Wilkinson, The Grammar of Graphics, Statistics and Computing)

L. Wilkinson, A. Anand, and R. Grossman, Graph-theoretic scagnostics, IEEE Symposium on Information Visualization, 2005. INFOVIS 2005., p.14, 2005.
DOI : 10.1109/INFVIS.2005.1532142

C. S. Won and . Adv, Proceedings, Part III, chap. Feature Extraction and Evaluation Using Edge Histogram Descriptor in MPEG-7, Multimedia Information Processing -PCM 2004: 5th Pacific Rim Conference on Multimedia, pp.583-590, 2004.

M. Yang, K. Kpalma, and J. Ronsin, A Survey of Shape Feature Extraction Techniques. Peng-Yeng Yin, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00446037

I. T. Young, J. E. Walker, and J. E. Bowie, An analysis technique for biological shape. i. Information and control, pp.357-370, 1974.