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pro vyhledávání: '"Romanes, Sarah Elizabeth"'
We introduce a new method of performing high dimensional discriminant analysis, which we call multiDA. We achieve this by constructing a hybrid model that seamlessly integrates a multiclass diagonal discriminant analysis model and feature selection c
Externí odkaz:
http://arxiv.org/abs/1807.01422
Autor:
Romanes, Sarah Elizabeth
Discriminant analysis (DA) methods are effective and intuitive classifiers for correlated, Gaussian data. However, they cannot be used in high dimensional problems without modification (that is, when the number of features outnumbers that of the obse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______293::dd3e8ba975486035b378b54208ab3d48
https://hdl.handle.net/2123/21721
https://hdl.handle.net/2123/21721