Low-dimensional Representation

@inproceedings{Maindonald2007LowdimensionalR,
  title={Low-dimensional Representation},
  author={John H. Maindonald},
  year={2007}
}
Ordination is a generic name for methods for providing a low-dimensionaL view of points in multi-dimensional space, such that “similar” objects are near each other and dissimilar objects are separated. The plot(s) from an ordination in 2 or 3 dimensions may provide useful visual clues on clusters in the data and on outliers. If data can be separated into known classes that should be reflected in any ordination, then the scores from classification using lda() may be a good basis for an… CONTINUE READING

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