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KCI등재 학술저널

On the Silhouette Plot in Cluster Analysis

  • 20

To find the appropriate number of clusters in a data set is very important issue in cluster analysis. In general, we do not know a real cluster structures, the number and composition of the groups for the given data. The silhouette plot is introduced and has been implemented to find the number of clusters with k-means clustering. Silhouette plot provides a very useful visible criterion to find the number of cluster in statistical cluster analysis. The silhouette plot is adapted to the well known real data sets to find the appropriate number of clusters.

1. Introduction

2. K-means clustering and the number of clusters

3. Silhouettes

4. Numerical Data Analysis

5. Conclusion

References

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