
Sequential agglomerative procedure for sorting a production batch of electronic radio devices into homogeneous groups
Author(s) -
Sergey Golovanov,
В. И. Орлов,
Lev Kazakovtsev,
В В Федосов
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/734/1/012013
Subject(s) - hierarchical clustering , silhouette , sorting , homogeneous , cluster analysis , computer science , value (mathematics) , sort , pattern recognition (psychology) , artificial intelligence , data mining , mathematics , algorithm , information retrieval , machine learning , combinatorics
Authors proposed a clustering algorithm for sorting a batch of electronic radio devices by homogeneous groups according to the results of non-destructive tests. Algorithm is based on searching for the best silhouette criterion value of clusters using the sequential agglomerative procedure (SAP). It merges groups with the smallest distance between their centers one by one. New procedure was tested on dataset of microcircuits for space applications in a specialized test center.