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Hierarchical Latent Class Models for Cluster Analysis

National Conference on Artificial Intelligence, pp.230-237, (2004)

被引用137|浏览7
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Latent class models are used for cluster analysis of categorical data. Underlying such a model is the assumption that the observed variables are mutually independent given the class variable. A serious problem with the use of latent class models, known as local dependence, is that this assumption is often untrue. In this paper we propose ...更多

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