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analysis (PCA) is used as a dimensionality-reduction method, and a clustering algorithm is used to classify reconstruction … network, dimensionality reduction allows measuring of the extent to which the network's main connective features (i.e. the … structure) deviate from those regarded as typical. The key to dimensionality-reduction methods is the ability to reconstruct …
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Ranked preference data arise when a set of judges rank, in order of their preference, a set of objects. Such data arise in preferential voting systems and market research surveys. Covariate data associated with the judges are also often recorded. Such covariate data should be used in conjunction...
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