An algorithm for drawing general undirected graphs
Information Processing Letters
Graph drawing by force-directed placement
Software—Practice & Experience
A linear iteration time layout algorithm for visualising high-dimensional data
Proceedings of the 7th conference on Visualization '96
Information Retrieval
Visualization of Information Spaces to Retrieve and Browse Image Data
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Integrated Browsing and Searching of Large Image Collections
VISUAL '00 Proceedings of the 4th International Conference on Advances in Visual Information Systems
Adaptive Color-Image Embeddings for Database Navigation
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume I - Volume I
FADE: Graph Drawing, Clustering, and Visual Abstraction
GD '00 Proceedings of the 8th International Symposium on Graph Drawing
Fast multidimensional scaling through sampling, springs and interpolation
Information Visualization
A Triangulation Method for the Sequential Mapping of Points from N-Space to Two-Space
IEEE Transactions on Computers
A Nonlinear Mapping for Data Structure Analysis
IEEE Transactions on Computers
Nonlinear Dimensionality Reduction
Nonlinear Dimensionality Reduction
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A nonlinear method for dimensionality reduction based on the hierarchical clusterization of data and the Sammon mapping is proposed in the work. An essential element is the use of lists of reference nodes created based on the results of the hierarchical clusterization of data in the original multidimensional space in the dimensionality reduction. The work quality of the proposed method has been analyzed for a number of feature systems extracted from digital images, as well as for collections of images of various volumes.