Centroid averaging algorithm for a clustering ensemble

Vadim Vladimirovich Tatarnikov, Igor Alekseevich Pestunov, Vladimir Borisovich Berikov

Результат исследования: Научные публикации в периодических изданияхстатья

3 Цитирования (Scopus)


A collective approach to cluster analysis is considered in the paper. An algorithm of centroid averaging is proposed. The algorithm allows constructing the consensus partition of a dataset into clusters, using a set of partitions built with any centroid-based algorithm. We discuss results of applying the proposed algorithm to modeled data and for the segmentation of hyperspectral images with noise channels. Some details of implementation in a multithreaded environment that allows increasing the algorithm performance are given.

Язык оригиналаанглийский
Страницы (с-по)712-718
Число страниц7
ЖурналComputer Optics
Номер выпуска5
СостояниеОпубликовано - 1 сен 2017