A hybridized approach to data clustering

@article{Kao2008AHA,
  title={A hybridized approach to data clustering},
  author={Yi-Tung Kao and Erwie Zahara and I-Wei Kao},
  journal={Expert Syst. Appl.},
  year={2008},
  volume={34},
  pages={1754-1762}
}
Data clustering helps one discern the structure of and simplify the complexity of massive quantities of data. It is a common technique for statistical data analysis and is used in many fields, including machine learning, data mining, pattern recognition, image analysis, and bioinformatics, in which the distribution of information can be of any size and shape. The well-known K-means algorithm, which has been successfully applied to many practical clustering problems, suffers from several… CONTINUE READING
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