Heterogeneous distance functions for prototype rules : influence of parameters on probability estimation

@inproceedings{Blachnik2006HeterogeneousDF,
  title={Heterogeneous distance functions for prototype rules : influence of parameters on probability estimation},
  author={Marcin Blachnik and Włodzisław Duch and Tadeusz Wieczorek},
  year={2006}
}
An interesting and little explored way to understand data is based on prototype rules (P-rules). The goal of this approach is to find optimal similarity (or distance) functions and position of prototypes to which unknown vectors are compared. In real applications similarity functions frequently involve different types of attributes, such as continuous, discrete, binary or nominal. Heterogeneous distance functions that may handle such diverse information are usually based on probability distance… CONTINUE READING

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