Automated Analytical Methods to Support Visual Exploration of High-Dimensional Data

IEEE Trans. Vis. Comput. Graph., pp. 584-597, 2011.

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Abstract:

Visual exploration of multivariate data typically requires projection onto lower-dimensional representations. The number of possible representations grows rapidly with the number of dimensions, and manual exploration quickly becomes ineffective or even unfeasible. This paper proposes automatic analysis methods to extract potentially relev...More

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