CLASSIFICATION OF INCOMPLETE DATA
V.V. Ryazanov, V. V. Ryazanov · 2013
The problem of reconstructing the feature values in samples of objects given in terms of numerical features is considered. A numerical study of different approaches of solving this problem on one model and three practical problems at different levels of data incompleteness is held. A modification of the model calculation of estimates, not requiring metrics for signs, is suggested. The advantage of a local and recognition approaches over filling gaps with sample averages is shown.