Aug 6, 2024 · The goal of this paper is to present and justify a self-adjusting method for finding a consensus partition over a partition ensemble.

The goal of this paper is to present and justify a self-adjusting method for finding a consensus partition over a partition ensemble. The method is, basically, ...

This paper reports of theoretical and computational results related to an original concept of consensus clustering involving what we call the projective ...

Mirkin, B. G.; Parinov, A. A. · This paper reports of theoretical and computational results related to an original concept of consensus clustering involving what ...

Jan 19, 2024 · Machine learning methods and applications II Boris Mirkin, Andrey Parinov Self-adjusted consensus clustering with agglomerate algorithms.

This paper reports of theoretical and computational results related to an original concept of consensus clustering involving what we call the projective ...

This paper reports of theoretical and computational results related to an original concept of consensus clustering involving what we call the projective ...

Self-Adjusted Consensus Clustering with Agglomerate Algorithms. P. 262–273. Миркин Б. Г., Паринов А. А. Язык: английский · DOI · Текст на другом сайте. Ключевые ...

Self-Adjusted Consensus Clustering with Agglomerate Algorithms. B. G. Mirkin; A. A. Parinov. TOPICAL ISSUE 06 August 2024 Pages: 241 - 251. Genetic Engineering ...

Consensus clustering has emerged as a powerful technique for obtaining better clustering results, where a set of data partitions (ensemble) are generated, ...