Draft 2 . 2 Maximum Certainty Data

@inproceedings{Roberts2000Draft2,
  title={Draft 2 . 2 Maximum Certainty Data},
  author={P J Roberts and Richard Everson and Iead RezekIntelligent and UKs. j. roberts},
  year={2000}
}
Problems in data analysis often require the unsupervised partitioning of a data set into clusters. Many methods exist for such partitioning but most have the weakness of being model-based (most assuming hyper-ellipsoidal clusters) or computationally infeasible in anything more than a 3-dimensional data space. We reconsider the notion of cluster analysis in… CONTINUE READING