ANOMALY DETECTION METHOD, ELECTRONIC DEVICE, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM, AND COMPUTER PROGRAM

An anomaly detection method capable of minimizing the consumption of computing resources and time is provided. The anomaly detection method includes: learning a first classifier, which includes an encoder and a decoder, using a plurality of training data, which are classified into a plurality of first subsets; extracting features from the plurality of training data by computing the plurality of training data with the encoder of the learned first classifier; reconstructing the plurality of training data into a plurality of second subsets by clustering the plurality of training data based on the extracted features; learning a plurality of second classifiers, which correspond to the plurality of second subsets, using the second subsets; and detecting any abnormality in input data using the plurality of second classifiers.