Dissimilarity-based classification of spectra: computational issues

@article{Paclk2003DissimilaritybasedCO,
  title={Dissimilarity-based classification of spectra: computational issues},
  author={Pavel Pacl{\'i}k and Robert P. W. Duin},
  journal={Real-Time Imaging},
  year={2003},
  volume={9},
  pages={237-244}
}
For the sake of classification, spectra are traditionally represented by points in a high-dimensional feature space, spanned by spectral bands. An alternative approach is to represent spectra by dissimilarities to other spectra. This relational representation enables one to treat spectra as connected entities and to emphasize characteristics such as shape, which are difficult to handle in the traditional approach. Several classification methods for relational representations were developed and… CONTINUE READING
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