A self-organising eigenspace map for time series clustering

no code implementations • 14 May 2019 • Donya Rahmani, Damien Fay, Jacek Brodzki

This paper presents a novel time series clustering method, the self-organising eigenspace map (SOEM), based on a generalisation of the well-known self-organising feature map (SOFM).

Clustering Time Series +3