no code implementations • 2 Oct 2020 • Jakob Raymaekers, Ruben H. Zamar
We study a framework of regularized $K$-means methods based on direct penalization of the size of the cluster centers.
3 code implementations • 19 Jun 2019 • Juan D. Gonzalez, Victor J. Yohai, Ruben H. Zamar
K means is a popular non-parametric clustering procedure introduced by Steinhaus (1956) and further developed by MacQueen (1967).
Computation 62G35, 62H30, 62H35
no code implementations • 3 Jul 2017 • Hongyang Zhang, William J. Welch, Ruben H. Zamar
Tomal et al. (2015) introduced the notion of "phalanxes" in the context of rare-class detection in two-class classification problems.
no code implementations • 21 Jun 2017 • Jabed H. Tomal, William J. Welch, Ruben H. Zamar
Our approach uses an ensemble of models in a classifier and an ensemble of assessment metrics.
no code implementations • 2 Sep 2014 • Hongyang Zhang, Ruben H. Zamar
There has been a surge in the number of large and flat data sets - data sets containing a large number of features and a relatively small number of observations - due to the growing ability to collect and store information in medical research and other fields.
no code implementations • 20 Mar 2013 • Jabed H. Tomal, William J. Welch, Ruben H. Zamar
Because the class of interest is rare in the training data, there is relatively little information in the known class response labels for model building.