A study of interactive visualization method for multidimensional data
نویسندگان
چکیده
منابع مشابه
Interactive Visualization of Multidimensional Data
Interactive data visualization concerns the real time manipulation of sampled and computed data for comprehensive display. The goal of the visualization is to bring to the user a deeper understanding of the data as well as the underlying physical laws and properties. In this survey paper I focus on two problem areas relating to interactive data visualization. The rst is in data reduction and de...
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We discuss interactive techniques for multidimensional scaling (MDS) and a system, named \XGvis", that implements these techniques. MDS is a method for visualizing proximity data, that is, data where objects are characterized by dissimilarity values for all pairs of objects. MDS constructs maps of these objects in IR k by interpreting the dissimilarities as distances. MDS in its conventional ba...
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Information visualization techniques can aid us in gaining insight into abstract and complex data, and help us when we need to form a mental image thereof. One of the challenging areas in information visualization is the visualization of multidimensional data. The problem arises when we need to consider a large number of data variables and their relationships simultaneously, often without a wel...
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Projecfing multidimensional data to a lower-dimensional visual displayas a scatter-plot-llke visualization is a common approach for analyzing mullidimensional data. Many dimension reduclion techniques existfor performing such a tasle, but the quallty of projections varies in terms of both preserving the original data structure and avoiding cluttered visual displays. In this papel; we propose an...
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Data visualization is the process of transforming data, information, and knowledge into visual form, making use of humans’ natural visual capabilities which reveals relationships in data sets that are not evident from the raw data, by using mathematical techniques to reduce the number of dimensions in the data set while preserving the relevant inherent properties. In this paper, we formulated d...
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ژورنال
عنوان ژورنال: The Japanese journal of ergonomics
سال: 2005
ISSN: 0549-4974,1884-2844
DOI: 10.5100/jje.41.supplement_76