• Mathematics, Medicine, Computer Science
  • Published in Comp. Int. and Neurosc. 2015
  • DOI:10.1155/2015/829201

Localized Ambient Solidity Separation Algorithm Based Computer User Segmentation

@inproceedings{Sun2015LocalizedAS,
  title={Localized Ambient Solidity Separation Algorithm Based Computer User Segmentation},
  author={Xiao Sun and Tongda Zhang and Yueting Chai and Yi Liu},
  booktitle={Comp. Int. and Neurosc.},
  year={2015}
}
Most of popular clustering methods typically have some strong assumptions of the dataset. For example, the k-means implicitly assumes that all clusters come from spherical Gaussian distributions which have different means but the same covariance. However, when dealing with datasets that have diverse distribution shapes or high dimensionality, these assumptions might not be valid anymore. In order to overcome this weakness, we proposed a new clustering algorithm named localized ambient solidity… CONTINUE READING

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