title: Change in the embedding dimension as an indicator of an approaching transition.
abstract: Predicting a transition point in behavioral data should take into account the complexity of the signal being influenced by contextual factors. In this paper, we propose to analyze changes in the embedding dimension as contextual information indicating a proceeding transitive point, called OPtimal Embedding tRANsition Detection (OPERAND). Three texts were processed and translated to time-series of emotional polarity. It was found that changes in the embedding dimension proceeded transition points in the data. These preliminary results encourage further research into changes in the embedding dimension as generic markers of an approaching transition point.
authors: Ben-Gurion University of the Negev, Be'er Sheva, Israel.
authors: Yair
authors: Y
authors: Neuman
authors: Potsdam Institut for Climate Impact Research, Potsdam, Germany.
authors: Norbert
authors: N
authors: Marwan
authors: Gilasio Coding, Tel-Aviv, Israel.
authors: Yohai
authors: Y
authors: Cohen
mesh_terms: D000465:Algorithms; D001519:Behavior; D001877:Books; D006801:Humans; D009040:Motion Pictures; D013997:Time Factors