A supervised clustering MCMC methodology for large categorical feature spaces
Sign Up to like & getrecommendations! Published in 2021 at "Statistical Methods in Medical Research"
DOI: 10.1177/09622802211009258
Abstract: There is a well-established tradition within the statistics literature that explores different techniques for reducing the dimensionality of large feature spaces. The problem is central to machine learning and it has been largely explored under… read more here.
Keywords: methodology; feature spaces; feature; categorical feature ... See more keywords
New discrimination procedure of location model for handling large categorical variables
Sign Up to like & getrecommendations! Published in 2017 at "Sains Malaysiana"
DOI: 10.17576/jsm-2017-4606-20
Abstract: The location model proposed in the past is a predictive discriminant rule that can classify new observations into one of two predefined groups based on mixtures of continuous and categorical variables. The ability of location… read more here.
Keywords: location model; categorical variables; large categorical; model ... See more keywords