Weighted dynamic time warping for time series analysis

This thesis proposed a novel similarity measure for time series data, such as traffic flow or stock prices, and examines its impact on clustering, classification and prediction tasks. The proposed similarity measure surpasses the existing benchmark measures and can offer valuable insights for decision-making in practical applications.