Novel Sequence-to-Image Transformation for Enhanced Sequence Classification

This research paper explores a novel approach to sequence classification by transforming sequential data into images using Rips complex construction and chaos game representation. The methodology offers a potentially innovative way to leverage image-based machine learning techniques for sequence analysis.

• •Proposes a new method for transforming sequential data into image representations.
• •Utilizes Rips complex construction and chaos game representation for the transformation.
• •Aims to improve sequence classification using image-based machine learning techniques.