Castor: Competing shapelets for fast and accurate time series classification

arXiv:2403.13176v1 Announce Type: new
Abstract: Shapelets are discriminative subsequences, originally embedded in shapelet-based decision trees but have since been extended to shapelet-based transformations. We propose Castor, a simple, efficient, and accurate time series classification algorithm that utilizes shapelets to transform time series. The transformation organizes shapelets into groups with varying dilation and allows the shapelets to compete over the time context to construct a diverse feature representation. By organizing the shapelets into groups, we enable the transformation to transition between …

abstract algorithm arxiv classification cs.cv cs.lg decision decision trees embedded series simple time series transformation trees type