Visualization of high-dimensional data using an association of multidimensional scaling to clustering

@article{Naud2004VisualizationOH,
  title={Visualization of high-dimensional data using an association of multidimensional scaling to clustering},
  author={Antoine Naud},
  journal={IEEE Conference on Cybernetics and Intelligent Systems, 2004.},
  year={2004},
  volume={1},
  pages={252-255 vol.1}
}
A common task in data mining is the visualization of multivariate objects on scatterplots, allowing human observers to perceive subtle inter-relations in the dataset such as outliers, groupings or other regularities. Multidimensional scaling (MDS) is a well known exploratory data analysis family of techniques that produce one display on which inter-object similarity relationships are preserved. The algorithm scales with the square of the number of visualized data, which limits its application… CONTINUE READING

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