Fuzzy cluster analysis with missing values
Heiko Timm, Rudolf Kruse · 2002
The paper shows how methods of fuzzy cluster analysis can be extended in such a way that they are able to process datasets with missing values. We study several imputation methods and propose a new approach for reducing the influence of imputations.