Jan 10, 2023 · In this paper, we develop and test different tailored mixed-integer programming techniques to improve the performance of state-of-the-art MINLP solvers.

In this paper, we develop and test different tailored mixed-integer programming techniques to improve the performance of state-of-the-art MINLP solvers when ...

Sep 1, 2023 · In this paper we consider the minimum sum-of-squares clustering (MSSC) problem. Here, distance between data points is measured using the squared ...

Mar 9, 2022 · In this paper, we develop and test different tailored mixed-integer programming techniques to improve the performance of state-of-the-art MINLP ...

Feb 24, 2022 · Mixed-Integer Programming Techniques for the Minimum Sum-of-Squares Clustering Problem. Martin Schmidt. @schmaidt. Séminaire du GERAD ...

Different tailored mixed-integer programming techniques are developed and test to improve the performance of state-of-the-art MINLP solvers when applied to ...

In this paper, we develop and test different tailored mixed-integer programming techniques to improve the performance of state-of-the-art MINLP solvers when ...

In this paper, we develop and test different tailored mixed-integer programming techniques to improve the performance of state-of-the-art MINLP solvers.

In this paper, we develop and test different tailored mixed-integer programming techniques to improve the performance of state-of-the-art MINLP solvers.

AbstractThe minimum sum-of-squares clustering problem is a very important problem in data mining and machine learning with very many applications in, e.g., ...