@article{id:Matyja2014Comparison,
   author = {Artur Matyja and Krzysztof Simi{\'{n}}ski},
   title = {Comparison of algorithms for clustering incomplete data},
   journal = {Foundations of Computing and Decision Sciences},
   pages = {107--127},
   doi = {10.2478/fcds-2014-0007},
   volume = {39},
   number = {2},
   year = {2014},
   note = {[9 pkt]},
   abstract = {The missing values are not uncommon in real data sets.
   The algorithms and methods used for the data analysis of complete data
   sets cannot always be applied to missing value data. In order to use 
   the existing methods for complete data, the missing value data sets 
   are preprocessed. The other solution to this problem is creation of new
   algorithms dedicated to missing value data sets. The objective of our 
   research is to compare the preprocessing techniques and specialised 
   algorithms and to find their most advantageous usage.},
}