A computer generated aid for cluster analysis

@article{Ling1973ACG,
  title={A computer generated aid for cluster analysis},
  author={R. F. Ling},
  journal={Commun. ACM},
  year={1973},
  volume={16},
  pages={355-361}
}
  • R. F. Ling
  • Published 1973
  • Computer Science
  • Commun. ACM
A computer generated graphic method, which can be used in conjunction with any hierarchical scheme of cluster analysis, is described and illustrated. The graphic principle used is the representation of the elements of a data matrix of similarities or dissimilarities by computer printed symbols (of character overstrikes) of various shades of darkness, where a dark symbol corresponds to a small dissimilarity. The plots, applied to a data matrix before clustering and to the rearranged matrix after… Expand

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References

SHOWING 1-2 OF 2 REFERENCES
The Dendrograph
  • Computer Contrib. 48. U. of Kansas, Kansas Geol. Surv.,
  • 1970