iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction

@article{Choo2010iVisClassifierAI,
  title={iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction},
  author={Jaegul Choo and Hanseung Lee and Jaeyeon Kihm and Haesun Park},
  journal={2010 IEEE Symposium on Visual Analytics Science and Technology},
  year={2010},
  pages={27-34}
}
We present an interactive visual analytics system for classification, iVisClassifier, based on a supervised dimension reduction method, linear discriminant analysis (LDA). Given high-dimensional data and associated cluster labels, LDA gives their reduced dimensional representation, which provides a good overview about the cluster structure. Instead of a single two- or three-dimensional scatter plot, iVisClassifier fully interacts with all the reduced dimensions obtained by LDA through parallel… CONTINUE READING
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