This work provides a practical global optimization algorithm for this task based on a reduced-space spatial branch and bound scheme.
This work pro- vides a practical global optimization algorithm for this task based on a reduced-space spatial branch and bound scheme.
Dec 30, 2022 · This paper presents a practical global optimization algorithm for the K-center clustering problem, which aims to select K samples as the cluster centers.
In this paper, we provide a novel scalable and globally op- timal solution to a popular variant of the k-center problem known as generalized L1 k-center ...
This work provides a practical global optimization algorithm for this task based on a reduced-space spatial branch and bound scheme. This algorithm can ...
In this paper, we provide a novel scalable and globally op- timal solution to a popular variant of the k-center problem known as generalized L1 k-center ...
Dec 30, 2022 · This paper presents a practical global optimization algorithm for the K-center clustering problem, which aims to select K samples as the cluster ...
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In this paper, we provide a novel scalable and globally op- timal solution to a popular variant of the k-center problem known as generalized L1 k-center ...
We present the global k-means algorithm which is an incremental approach to clustering that dynamically adds one cluster center at a time through a ...
We focus particularly on developing numerical algorithms for solving them using a heuristic method and a new method based on the DCA, an algorithm for ...