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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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the hierarchy on the variance decomposition and the clustering effects have not been well documented. This paper discusses … how omitting one level in three-level models affects the variance decomposition and clustering in the resulting two …
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We deal with two-way contingency tables having ordered column categories. We use a row effects model wherein each interaction term is assumed to have a multiplicative form involving a row effect parameter and a fixed column score. We propose a methodology to cluster row effects in order to...
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