M. Ankerst, D. Keim, and H.-P. Kriegel, "Circle segments': A technique for visually exploring large multidimensional data sets," in Proceedings of Visualization '96, Hot Topic Session, San Francisco, CA, 1996, 1996.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....a limited demand will be made on network resources, both at query time and on document retrieval. Figure 1. Sammon map for cluster guided search 4. New Paradigms in Information Visualization The last decade has witnessed an explosion in interest in the field of information visualization, e.g. [13, 7, 26, 11, 2, 6, 16, 3, 25, 33, 31, 32, 24, 5, 18]. We add three new techniques to the pool of existing visualization paradigms, based on our design study [4] 4.1. Sammon Cluster View This paradigm uses a Sammon map to generate a two dimensional location from a many dimensional vector of cluster centroids. This map is computed using an ....

M Ankerst, D Keim, and H Kriegel. Circle segments: A technique for visually exploring large multidimensional data sets. In IEEE Visualization, 1996.

....for the effectiveness of a large number of visualization techniques [2] For example, in many multidimensional visualization techniques, such as Parallel This work was supported under NSF grants IIS 9732897, IRIS9729878, and IIS 0119276. Coordinates [13, 22] Star Glyphs [19] Circle Segments [3] and Recursive Pattern [15] the dimensions have to be positioned in some one or two dimensional arrangement on the screen. This chosen arrangement of dimensions can have a major impact on the expressiveness of the visualization because the relationships among adjacent dimensions are easier to ....

M. Ankerst, D. Keim, and H. Driegel. Circle segments: A technique for visually exploring large multidimensional data sets. Proc. of Visualization '96, 1996.

....two orthogonal dimensions generates a planar 2D map, which represents the information space of the two features. Similarly, the method can be generalized to an n dimensional feature space. However, the visualization, orientation and understanding of n dimensional spaces is known to be difficult [2, 18]. The proposed relevance map represents n dimensional object points on a 2D map such that their location reflects their relevance to the features. The relevance map is a 2D space where a distance function is defined but not a metric. That is, the proximity of two points means that they are likely ....

....information about the correlation between the map presentation and the documents. 5 Related work The field of information visualization has been explored by many researches in the last few years. Works in Neural networks[21] information retrieval[13] scientific and information visualization[24, 2, 18] provide a wide range of solutions, designed to alleviate problems of displaying high number of dimensions. Neural network based systems, designed to learn the characteristics of n dimensional space and to display a map of relations between the objects in the space, was introduced by Kohonen ....

M. Ankerst, D. Keim, and H. Kriegel. Circle segments': A technique for visually exploring large multidimensional data sets. In Proc. of Visualization 96, December 1996.

....which allows more data to be represented. When dividing the space into segments, it is possible to show the evolution of several variables simultaneously as, for example, the value of di#erent stocks along the time. These techniques give information about tendency of the data but no precise value [1], 6] 7] 3 Symbolic Objects and Symbolic Analysis Classical statistical data are usually presented on the form of a matrix were lines are individuals and columns are variables. Variables can be quantitative or categorical. If data depend upon time, the lines represent the same individual at ....

ANKERST M., KEIM D.A., KRIEGEL H.-P. : Circle Segments : A Technique for Visually Exploring Large Multidimensional Data Sets. Proc. Visualization '96, Hot Topic Session, San Francisco, CA (1996). http://www.informatik.uni-halle.de/ keim/publications.html

....the clusters can hardly be seen in an equi width presentation. Thus, an animated presentation is more informative than either presentation alone. 4 Related Work A variety of data visualization techniques such as scatterplots [4] hyperslice [21] parallel coordinates [11] and circle segments [5] have been proposed. Variable resolution bivariate plots dynamically transition from scatterplot format to a greyscale format based on density estimates for each cell [10] See [15] for a survey of data visualization techniques. No previous technique speci cally addressed visualizing attribute ....

M. Ankerst, D.A. Keim, and H.-P. Kriegel. Circle Segments: A Technique for Visually Exploring Large Multidimensional Data Sets. Visualization '96, 1996.

.... a new set of related words emerges; for details see [9] The obtained clusters based on this representation have proven to be meaningful in experiments with a large database of TREC human relevance judgements [12] The recent decade has seen much interest in information visualization, see eg [7, 4, 11, 5, 1, 2]. In the following we suggest three new paradigms in information visualization displaying clusters of documents. 1 Sammon Cluster View In this paradigm, we use Sammon mapping [8] to convert the high dimensional cluster centroid vectors to two dimensions, while trying to preserve the distance ....

M Ankerst, D Keim, and H Kriegel. Circle segments: A technique for visually exploring large multidimensional data sets. In IEEE Visualization '96, 1996.

....applet is installed in the client s browser only a limited demand will be made on network resources, both at query time and on document retrieval. 4 New Paradigms in Information Visualization The last decade has witnessed an explosion in interest in the field of information visualization, e.g. [13, 7, 27, 11, 2, 6, 16, 3, 26, 34, 32, 33, 24, 5, 18]. We add three new techniques for information visualization to the pool of existing visualization paradigms, based on a design study published earlier this year [4] 4.1 Sammon Cluster View This paradigm uses a Sammon map to generate a two dimensional location from a many dimensional vector of ....

M Ankerst, D Keim, and H Kriegel. Circle segments: A technique for visually exploring large multidimensional data sets. In IEEE Visualization '96, 1996.

....information could be conveyed by a scatterplot or equiwidth histogram under presence of outliers and skew. Related Work A variety of data visualization techniques such as scatterplots (Andrews 1972) hyperslice (van Wijk van Liere 1993) parallel coordinates (Inselberg 1985) and circle segments (Ankerst, Keim, Kriegel 1996) have been proposed. No previous technique specifically addressed visualizing attribute dependence effects while normalizing out the one dimensional distributions. See (Keim 1997) for a survey. There is much literature on finding histogram bucket boundaries (Ioannidis Poosala 1995; Poosala et ....

Ankerst, M.; Keim, D.; and Kriegel, H.-P. 1996. Circle Segments: A Technique for Visually Exploring Large Multidimensional Data Sets. Visualization '96.

.... a new set of related words emerges; for details see [9] The obtained clusters based on this representation have proven to be meaningful in experiments with a large database of TREC human relevance judgements [12] The recent decade has seen much interest in information visualization, see eg [7, 4, 11, 5, 1, 2]. In the following we suggest three new paradigms in information visualization displaying clusters of documents. 1 Sammon Cluster View In this paradigm, we use Sammon mapping [8] to convert the high dimensional cluster centroid vectors to two dimensions, while trying to preserve the distance ....

M Ankerst, D Keim, and H Kriegel. Circle segments: A technique for visually exploring large multidimensional data sets. In IEEE Visualization '96, 1996.

....and forth manner orthogonal to the line that halves the segment. An example for a circle segments visualization of 50 stock price developments from the FAZ index database used in the example above is presented in Figure 5. For the details on the circlesegments technique the reader is referred to [AKK 96] 4. The VisDB System Several pixel oriented visualization techniques including the techniques described in the previous subsections are implemented as part of the VisDB system [KK 95] In addition to our pixel oriented techniques, the VisDB system also supports the parallel coordinates ....

Ankerst M., Keim D. A., Kriegel H.-P.: `Circle-Segments: A Technique for Visually Exploring Large Multidimensional Data Sets', Visualization `96, Hot Topic Session, San Francisco CA, 1996.

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M. Ankerst, D. Keim, and H.-P. Kriegel, "Circle segments': A technique for visually exploring large multidimensional data sets," in Proceedings of Visualization '96, Hot Topic Session, San Francisco, CA, 1996, 1996.

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M. Ankerst, D. A. Keim, and H.-P. Kriegel. Circle Segments: A Technique for Visually Exploring Large Multidimensional Data Sets. Proc. Visualization '96, Hot Topic Session, San Francisco, CA, 1996.

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M. Ankerst, D. Keim, H. Kriegel. Circle Segments: A Technique for Visually Exploring Large Multidimensional Data Sets. In IEEE Conf. Visualization, 1996.

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M. Ankerst, D. Keim, H. Kriegel. Circle Segments: A Technique for Visually Exploring Large Multidimensional Data Sets. In IEEE Conf. Visualization, 1996.

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