TSNE+K-Means Based Heritage Classification System

Heritage is a microcosm of history and possesses much historical and practical value. Aiming at the current problem of relics classification relying on experience and no obj ective scientific classification, this paper proposes a relics classification model based on TSNE+K-means, which provides a relics classification method based on machine learning, and it has been verified that the method has a good classification effect in the classification of glass relics and basically matches the existing classification methods.