A generalized Mahalanobis distance for mixed data
نویسندگان
چکیده
منابع مشابه
A generalized Mahalanobis distance for mixed data
A distance for mixed nominal, ordinal and continuous data is developed by applying the Kullback–Leibler divergence to the general mixed-data model, an extension of the general location model that allows for ordinal variables to be incorporated in the model. The distance obtained can be considered as a generalization of the Mahalanobis distance to data with a mixture of nominal, ordinal and cont...
متن کاملLearning a Mahalanobis distance metric for data clustering and classification
Article history: Received 7 October 2007 Received in revised form 27 February 2008 Accepted 16 May 2008
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ژورنال
عنوان ژورنال: Journal of Multivariate Analysis
سال: 2005
ISSN: 0047-259X
DOI: 10.1016/j.jmva.2003.08.006