Clustering Time Series Using Unsupervised-Shapelets

Abstract

Time series clustering has become an increasingly important research topic over the past decade. Most existing methods for time series clustering rely on distances calculated from the entire raw data using the Euclidean distance or Dynamic Time Warping distance as the distance measure. However, the presence of significant noise, dropouts, or extraneous data… (More)
DOI: 10.1109/ICDM.2012.26

Topics

12 Figures and Tables

Statistics

0102030201320142015201620172018
Citations per Year

86 Citations

Semantic Scholar estimates that this publication has 86 citations based on the available data.

See our FAQ for additional information.

Slides referencing similar topics