Construction of an optimal collective decision in cluster analysis on the basis of an averaged co-association matrix and cluster validity indices

Результат исследования: Научные публикации в периодических изданияхстатьярецензирование

3 Цитирования (Scopus)

Аннотация

An ensemble clustering method is proposed that is based on a weight averaged co-association matrix. The ensemble includes various cluster analysis algorithms whose weights are calculated with the use of cluster validity indices. The properties of the ensemble are analyzed, a probabilistic model is described by which the relations between the characteristics of the ensemble and a quality estimate of a decision are determined, and a method is proposed for determining the optimal weights. The efficiency of the method is analyzed by statistical simulation.

Язык оригиналаанглийский
Страницы (с-по)153-165
Число страниц13
ЖурналPattern Recognition and Image Analysis
Том27
Номер выпуска2
DOI
СостояниеОпубликовано - 1 апр 2017

Fingerprint Подробные сведения о темах исследования «Construction of an optimal collective decision in cluster analysis on the basis of an averaged co-association matrix and cluster validity indices». Вместе они формируют уникальный семантический отпечаток (fingerprint).

Цитировать