Relationship-Based Clustering and Visualization for High-Dimensional Data Mining

@article{Strehl2003RelationshipBasedCA,
  title={Relationship-Based Clustering and Visualization for High-Dimensional Data Mining},
  author={Alexander Strehl and Joydeep Ghosh},
  journal={INFORMS Journal on Computing},
  year={2003},
  volume={15},
  pages={208-230}
}
In several real-life data-mining applications, data reside in very high (1000 or more) dimensional space, where both clustering techniques developed for low-dimensional spaces (k-means, BIRCH, CLARANS, CURE, DBScan, etc.) as well as visualization methods such as parallel coordinates or projective visualizations, are rendered ineffective. This paper proposes a relationship-based approach that alleviates both problems, side-stepping the “curseof-dimensionality” issue by working in a suitable… CONTINUE READING

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