Search Results for author:
Found 5 papers, 4 papers with code
Convex Clustering through MM: An Efficient Algorithm to Perform Hierarchical Clustering
Convex clustering is a modern method with both hierarchical and $k$-means clustering characteristics.
The MELODIC family for simultaneous binary logistic regression in a reduced space
In this paper, we propose the MELODIC family for simultaneous binary logistic regression modeling.
Generalized Simultaneous Component Analysis of Binary and Quantitative data
To this end, we propose the generalized SCA (GSCA) model, which takes into account the distinct mathematical properties of binary and quantitative measurements in the maximum likelihood framework.
Methodology
SparseStep: Approximating the Counting Norm for Sparse Regularization
The SparseStep algorithm is presented for the estimation of a sparse parameter vector in the linear regression problem.
Sparse Learning
Methodology
62J05, 62J07
GenSVM: A Generalized Multiclass Support Vector Machine
Traditional extensions of the binary support vector machine (SVM) to multiclass problems are either heuristics or require solving a large dual optimization problem.
