Open AccessИерархические методы кластеризации в задаче поиска аномальных наблюдений на основе групп с нарушенной симметрией
Author(s) -
A.N. Kislyakov,
Sergey V. Polyakov
Publication year - 2020
Publication title -
upravlenčeskoe konsulʹtirovanie
Language(s) - Russian
Resource type - Journals
eISSN - 1816-8590
pISSN - 1726-1139
DOI - 10.22394/1726-1139-2020-5-116-127
Subject(s) - cluster analysis , hierarchical clustering , dendrogram , categorical variable , silhouette , metric (unit) , set (abstract data type) , data mining , computer science , complete linkage clustering , identification (biology) , single linkage clustering , mathematics , cluster (spacecraft) , pattern recognition (psychology) , artificial intelligence , correlation clustering , cure data clustering algorithm , statistics , engineering , population , operations management , demography , botany , sociology , genetic diversity , biology , programming language