Torwards Visual Analytics for the Exploration of Large Sets of Time Series

PyRQA—Conducting recurrence quantification analysis on very long time series efficiently

“…Using a synthetic series consisting of 1,000,001 data points, it is shown that the runtime for performing RQA could be reduced from almost eight hours using a state-of-the-art software tool to roughly 69 seconds. Those dramatic performance improvements open the door for novel applications, such as multi-scale recurrence analysis (Sips et al, 2016).…”

Visual Approaches for Exploratory Data Analysis: A Survey of the Visual Assessment of Clustering Tendency (VAT) Family of Algorithms

“…Sips et al [154] address the scientific question of whether the clustering of time series based on their RQA measures produces a clustering structure that is interpretable by human experts. They used iVAT to visualize the time series (each time series is represented by 16 different RQA measures, which are used to calculate a Euclidean distance matrix) and found that the iVAT visualization of cluster structure was interpretable and consistent with the clustering structure based on the expert opinion.…”