Interval Data Clustering with Applications

@article{Peng2006IntervalDC,
  title={Interval Data Clustering with Applications},
  author={Wei Peng and Tao Li},
  journal={2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06)},
  year={2006},
  pages={355-362}
}
Interval data is described by a group of variables, each of which contains a range of continuous values instead of the traditional single continuous or discrete value. Traditional data analysis simply replaces each interval by its representative (e.g., center or mean) and ignores the structure information of intervals. In this paper, we study the problem of clustering interval data using the modified or extended interval data dissimilarity measures. Our contributions are two-fold. First, we… CONTINUE READING

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