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. Author manuscript; available in PMC: 2011 Jun 1.
Published in final edited form as: Pattern Recognit. 2010 Jun 1;43(6):2340–2350. doi: 10.1016/j.patcog.2009.12.003

Fig. 3.

Fig. 3

Selection-fusion algorithm for missing value management: B is the set of all subsets, M is the missing value matrix as defined in Equation (1), A is the co-accordance binary matrix as defined in Equation (2), C is the subset similarity matrix as defined in Equation (3), D is the distance matrix as defined in Equation (5), CVI is the cluster validity index as defined in Equation (6), xj is the testing sample, φ̃i,xj is the fusion weight as defined in Equation (11), and ΓBB(x) is the classification result for the testing sample x as defined in Equation (9).