In this paper machine learning methods for automatic classification problems using
computational geometry are considered. Classes are defined with convex hulls of points …

Abstract Machine learning methods for automatic classification problems using
computational geometry are considered. Classes are defined by convex hulls of sets of …

A new type of classifier, the lightweight nearest convex hull (LNCH) classifier, is proposed. It
is called lightweight due to the simplicity of its algorithm. It is based on a new method for …

During the clinical monitoring of the human heart activity the main goal is to detect heart
arrhythmias and capture their precursors as early as possible. And we decided to apply 2 …

Shapley values of individual instances were recently proposed for the problem of data
valuation. They were defined as the average marginal instance contributions to the …

This paper proposes new machine learning methods based on the representation of classes
by convex hulls in multidimensional space, and not requiring the computation of convex …

Various approaches to the construction of pattern recognition algorithms based on the
representation of classes as convex hulls in a multidimensional feature space are …

The methods of machine learning using the apparatus of computational geometry are
investigated. The use of convex hulls of sets in a multidimensional feature space allows …

During the clinical monitoring of the human heart activity the main goal is to detect heart
arrhythmias and capture their precursors as early as possible. We decided to divide ECG …

This text proposes a new classifier of nearest convex hulls characterized by a simplified
measurement of convex hull proximity to the test point. It is called a light nearest convex hull …