Self-Organizing Maps
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
A Nonlinear Mapping for Data Structure Analysis
IEEE Transactions on Computers
Support Vector Machines for Visualization and Dimensionality Reduction
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
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The TriVis algorithm for visualization of multidimensional data proximities in two dimensions is presented. The algorithm preserves maximum number of exact distances, has simple interpretation, and unlike multidimensional scaling (MDS) does not require costly minimization. It may also provide an excellent starting point significantly reducing the number of required iterations in MDS.