Statistical Machine Learning and Data Analytic Methods for Risk and Insurance
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Elsevier BV
Reference178 articles.
1. x n which can be arbitrary objects and their similarities s ij = s(x i , x j ) measured according to some similarity function which is symmetric and non-negative (in similarity matrix S = (s ij ) i,j=1;. .;Given data points x 1
2. Row vector
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