Classification by Feature Partitioning

@article{Guvenir2005ClassificationBF,
  title={Classification by Feature Partitioning},
  author={H. Altay Guvenir and İzzet Şirin},
  journal={Machine Learning},
  year={2005},
  volume={23},
  pages={47-67}
}
This paper presents a new form of exemplar-based learning, based on a representation scheme called feature partitioning, and a particular implementation of this technique called CFP (for Classification by Feature Partitioning). Learning in CFP is accomplished by storing the objects separately in each feature dimension as disjoint sets of values called segments. A segment is expanded through generalization or specialized by dividing it into sub-segments. Classification is based on a weighted… CONTINUE READING
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