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A New Imputation Method for Incomplete Binary Data
Mine Subasi, Ersoy Subasi, Martin Anthony and Peter Hammer
Discrete Applied Mathematics
2010.
AbstractIn data analysis problems where the data are represented by vectors
of real numbers, it is often the case that some of the data points
will have ``missing values'', meaning that one or more of the
entries of the vector that describes the data point is not known. In
this paper, we propose a new approach to the imputation of missing
binary values. The technique we introduce employs a ``similarity
measure'' introduced in~\cite{AH}. We compare experimentally the
performance of our technique with ones based on the usual Hamming
distance measure and a more classical statistical technique. [Edit]
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