Publication: A clustering-based approach to identify similar driving sections

This paper’s primary contribution is a theoretical framework for segmenting data through refined clustering. It employs a multi-level clustering approach and introduces a smoothing technique to handle noisy cluster assignments. This is achieved by transforming cluster indices into a binary vector space, which allows for the application of a smoothing algorithm.

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