Penalized and weighted K-means for clustering with scattered objects and prior information in high-throughput biological data

@article{Tseng2007PenalizedAW,
  title={Penalized and weighted K-means for clustering with scattered objects and prior information in high-throughput biological data},
  author={George C. Tseng},
  journal={Bioinformatics},
  year={2007},
  volume={23 17},
  pages={2247-55}
}
MOTIVATION Cluster analysis is one of the most important data mining tools for investigating high-throughput biological data. The existence of many scattered objects that should not be clustered has been found to hinder performance of most traditional clustering algorithms in such a high-dimensional complex situation. Very often, additional prior knowledge from databases or previous experiments is also available in the analysis. Excluding scattered objects and incorporating existing prior… CONTINUE READING

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