Hans-Dietrich Hecker

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Clustering – the grouping of objects depending on their spatial proximity – is one important technique of knowledge discovery in spatial databases. One of the proposed algorithms for this is FDC [5], which uses a density-based clustering approach. Since there is a need for parallel processing in very large databases to distribute resource allocation, this(More)
  • H Hecker
  • 2000
Partition based prediction rules as derived in CART, RECPAM or CBR, relating multivariate predictor variables X to a response variable Y, may be extended to bidirectional classification procedures. Tree or clustering algorithms are simultaneously applied to X and Y resulting in a double partition classification table that should be able to detect existing(More)