Episodic Clustering of Data Streams Using a Topology-Learning Neural Network
Marko Tscherepanow, Sina Kühnel, Sören Riechers · PUB – Publications at Bielefeld University (Bielefeld University) · 2012
Abstract. In this paper, an extension of the unsupervised topology-learning TopoART neural network is presented. Like TopoART, it is capable of stable incremental on-line clustering of real-valued data. However, it incorporates temporal information in such a way that consecutive input vectors with a low distance in the input space are summarised to episode-like clusters. Inspired by natural memory sys-tems, we propose two recall methods enabling the selection and re-trieval of these episodes. They are demonstrated at the example of a video stream recorded in a natural environment. 1