Silhouettes: a graphical aid to the interpretation and validation of cluster analysis

@article{Rousseeuw1987SilhouettesAG,
  title={Silhouettes: a graphical aid to the interpretation and validation of cluster analysis},
  author={P. Rousseeuw},
  journal={Journal of Computational and Applied Mathematics},
  year={1987},
  volume={20},
  pages={53-65}
}
  • P. Rousseeuw
  • Published 1987
  • Mathematics
  • Journal of Computational and Applied Mathematics
  • A new graphical display is proposed for partitioning techniques. Each cluster is represented by a so-called silhouette, which is based on the comparison of its tightness and separation. This silhouette shows which objects lie well within their cluster, and which ones are merely somewhere in between clusters. The entire clustering is displayed by combining the silhouettes into a single plot, allowing an appreciation of the relative quality of the clusters and an overview of the data… CONTINUE READING

    Figures and Tables from this paper.

    Neighborhood graphs, stripes and shadow plots for cluster visualization
    • 22
    • Highly Influenced
    • PDF
    Displaying a clustering with CLUSPLOT
    • 95
    • PDF
    Visualizing cluster analysis and finite mixture models
    • 7
    Density-based Silhouette diagnostics for clustering methods
    • 18
    Dissimilarity Plots: A Visual Exploration Tool for Partitional Clustering
    • 9
    • PDF
    Performance Evaluation of the Silhouette Index
    • 13
    Silhouette width using generalized mean – a flexible method for assessing clustering efficiency
    • 3
    • Highly Influenced
    • PDF
    GAP: A graphical environment for matrix visualization and cluster analysis
    • 95
    • PDF

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 16 REFERENCES
    ON MULTIVARIATE DISPLAY
    • 11
    Hierarchical clustering schemes
    • 3,854
    • PDF
    Bicriterion Cluster Analysis
    • 106
    • PDF
    Hierarchical Grouping to Optimize an Objective Function
    • 13,952
    • PDF
    Numerical methods for fuzzy clustering
    • 514
    Non-hierarchical clustering with masloc
    • 25