@InProceedings{Krizek-ICPR-2008,
  IS = { zkontrolovano 18 Jan 2009 },
  UPDATE  = { 2008-12-23 },
  author =      {K{\v r}{\'\i }{\v z}ek, Pavel and
                 Josef Kittler and
                 Hlav{\' a}{\v c}, V{\' a}clav},
  title =       {Feature Condensing Algorithm for Feature Selection},
  year =        {2008},
  pages =       {4},
  booktitle =   {ICPR 2008: Proceedings of the 19th International
                 Conference on Pattern Recognition},
  isbn =        {978-1-4244-2175-6},
  editor =      {G. Borgefors, P. Flynn},
  publisher =   {Omnipress},
  address =     {2600 Anderson Street, Madison, USA},
  book_pages =  {1542},
  month =       {December},
  day =         {7--11},
  venue =       {Tampa, USA},
  organization ={IAPR},
  annote = {A new unsupervised filter-based feature selection method
    is introduced. Its principle consists in merging similar features
    into clusters using a distance measure derived from the
    correlation coefficient. Subsequently, only one representative
    feature is selected from each cluster. In experiments with
    real-world data, we show that the proposed method is benefical as
    a pre-filtering step for more sophisticated feature selection
    techniques.},
  keywords =    {Feature selection, dimensionality reduction},
  prestige =    {international},
  authorship =  {80-10-10},
  project =     {ICT-215078 DIPLECS, 1M0567},
  note =        {CD-ROM},
  psurl       = { fulltext (PDF),
                  poster
(PDF) },
}