A shrinking-based clustering approach for multidimensional data

@article{Shi2005ASC,
  title={A shrinking-based clustering approach for multidimensional data},
  author={Yong Shi and Yuqing Song and Aidong Zhang},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2005},
  volume={17},
  pages={1389-1403}
}
Existing data analysis techniques have difficulty in handling multidimensional data. Multidimensional data has been a challenge for data analysis because of the inherent sparsity of the points. In this paper, we first present a novel data preprocessing technique called shrinking which optimizes the inherent characteristic of distribution of data. This data reorganization concept can be applied in many fields such as pattern recognition, data clustering, and signal processing. Then, as an… CONTINUE READING
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