GitHub

FastDTW- Dynamic Time Warping (DTW) with a linear time and memory complexity

FastDTW is an approximate Dynamic Time Warping (DTW) algorithm that provides optimal or near-optimal alignments with an O(N) time and memory complexity, in contrast to the O(N^2) requirement for the ...
IEEE

Building representative velocity profiles using FastDTW and spectral clustering

Abstract: The use of map based representative velocity profiles allows to predict the future state of a vehicle. The suggested approach is based on Fast Dynamic Time Warping. Spectral clustering is ...
IEEE

Clustered Bootstrap Similarity Learning Framework: Time Series Forecasting

Abstract: This study introduces the Clustered Bootstrapped Similarity Learning (CBSL) framework, a novel approach for time series forecasting that integrates deep feature extraction, similarity-based ...
GitHub

rasbt/python-machine-learning-book-3rd-edition

Please note that these are just the code examples accompanying the book, which we uploaded for your convenience; be aware that these notebooks may not be useful without the formulae and descriptive ...