Detection of homogeneous production batches of semiconductor devices by greedy heuristic clustering algorithms with special distance metrics

Abstract

Authors present a comparative efficiency analysis of application of k-means and k-medoids clustering models for solving the problem of grouping of semiconductor devices into homogeneous production batches using three types of metrics: Euclidean distance, Mahalanobis distance, Manhattan distance.