Data mining clustering of high dimensional databases with evolutionary algorithms

@inproceedings{Sarafis2005DataMC,
  title={Data mining clustering of high dimensional databases with evolutionary algorithms},
  author={Ioannis Sarafis},
  year={2005}
}
Driven by advances in data collection and storage, increasingly large and high dimensional datasets are being stored. Without special tools, human analysts can no longer make sense of such enormous volumes of data. Hence, intelligent data mining (DM) techniques are being developed to semi-automate the process of mining nuggets of hidden knowledge, and extract them in forms that can be readily utilised in areas such as decision support. Clustering high dimensional data is especially challenging… CONTINUE READING

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