High Dimensional Clustering Using ParallelCoordinates and the Grand

@inproceedings{Wegman1996HighDC,
  title={High Dimensional Clustering Using ParallelCoordinates and the Grand},
  author={TourEdward J. Wegman},
  year={1996}
}
  • TourEdward J. Wegman
  • Published 1996
In this paper, we present some graphical techniques for cluster analysis of high-dimensional data. Parallel coordinate plots and parallel coordinate density plots are graphical techniques which map multivariate data into a two-dimensional display. The method has some elegant duality properties with ordinary Cartesian plots so that higher-dimensional mathematical structures can be analyzed. Our high interaction software allows for rapid editing of data to remove outliers and isolate clusters by… CONTINUE READING

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