Equipment classification method based on fingerprint similarity

The invention discloses an equipment classification method based on fingerprint similarity, and the method comprises the steps: building a known sample set of the same type of equipment, and extracting fingerprint information corresponding to the sample set, so as to obtain an average similarity and a central point sample fingerprint set; obtaining the similarity between each device in the sampleset and the central point sample fingerprint set, calculating the similarity distance between the fingerprint information similarity of each known type of device and the central point sample fingerprint set, and determining the maximum similarity distance; calculating a spatial distance between each sample in the unknown type equipment set and a central point sample where the central point samplefingerprint set is located; and if the distance is greater than the maximum similarity distance, determining that the sample belongs to the sample type of the central point sample set, otherwise, determining that the sample do