论文标题
来自SSAE代表的罗马陶器概况的无监督聚类
Unsupervised clustering of Roman pottery profiles from their SSAE representation
论文作者
论文摘要
在本文中，我们介绍了罗马通用软件陶器（Rocopot）数据库，该数据库包括2000多种从11个罗马目录中提取的陶器形状的黑白成像曲线，并与不同的发掘位点有关。该新数据库中形状片段的偏差和手工差异使他们的无监督聚类成为一个非常具有挑战性的问题：因此，通过在堆叠的稀疏代表空间中学到的非线性特征的层次聚类来探索配置文件相似性，稀疏的自动化器（SSAE）网络（SSAE）网络，揭开了新的个人资料新个人资料匹配。从数学和考古学的角度评论了结果，以解锁各个社区的新研究方向。
In this paper we introduce the ROman COmmonware POTtery (ROCOPOT) database, which comprises of more than 2000 black and white imaging profiles of pottery shapes extracted from 11 Roman catalogues and related to different excavation sites. The partiality and the handcrafted variance of the shape fragments within this new database make their unsupervised clustering a very challenging problem: profile similarities are thus explored via the hierarchical clustering of non-linear features learned in the latent representation space of a stacked sparse autoencoder (SSAE) network, unveiling new profile matches. Results are commented both from a mathematical and archaeological perspective so as to unlock new research directions in the respective communities.
