Introductory examples

Introductory examples for time series in general.

Approximating time series

Approximation algorithms try to capture the most important information from time series. They can be seen as simple feature extraction algorithms.

Bag-of-words transformation

Bag-of-words algorithms transform a sequence of symbols into a bag of words.

Clustering time series

Depending on a suitable metric, it is possible to cluster time series.

Dataset utilities

Examples on how to load and make time series datasets.

Decomposing time series

Decomposition algorithms decompose time series into several components.

Metrics

Specific metrics for time series have been developed. The examples below illustrate some of the implemented metrics.

Multivariate time series

Specific algorithms for multivariate time series have been developed. The examples below illustrate some of the implemented ones.

Preprocessing tools

Preprocessing data is a common task in machine learning. The examples below illustrate the preprocessing tools available in this module.