Simultaneous approach to principal component analysis and fuzzy clustering with missing values

In this paper, we propose a method for partitioning incomplete data including missing values into several fuzzy clusters using local principal components. The novel method is an extension of Fuzzy c-Varieties clustering. Numerical example shows that the method provides a tool for interpretation on the local structures of a database.