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The paper briefly introduces multiple classifier systems and describes a newalgorithm, which improves classification accuracy by means of recommendation ofa proper algorithm to an object classification. This recommendation is doneassuming that a classifier is likely to predict the label of the objectcorrectly if it has correctly classified its neighbors. The process ofassigning a classifier to each object is based on Formal Concept Analysis. Weexplain the idea of the algorithm with a toy example and describe our firstexperiments with real-world datasets.

Can FCA-based Recommender System Suggest a Proper Classifier?